SlideShare una empresa de Scribd logo
1 de 133
Descargar para leer sin conexión
Techniques of Pulsed RF
Signal Generation and
Analysis for Radar and
Electronic Warfare
Applications
John Hansen
Senior Application Engineer
October 12th, 2011
Agenda
• Radar applications, types and measurements
• Basic pulse envelope measurements and tools
• Power meters, signal analyzers, oscilloscopes, time interval
analyzers
• Vector signal analysis
• Modulation on pulse (MOP) measurements and tools
• Using a Wideband Arbitrary Waveform Generator for
Advanced Signal Simulation
• Upconversion of wideband signals
• Radar & Electronic Warfare Threat Simulation
• Radar and countermeasures/ range equations
• Pulse timing and pattern parameters
• Antenna radiation patterns and scanning
• Coherent Multi-Channel & Diversity Systems
EuMW 2011
Radar Applications
Surveillance
Search
Tracking
Fire control
Navigation
Missile guidance
Automotive collision
avoidance
Materials identification
Atmospheric research
Radar altimeters
Proximity fuses
Weather
Ground mapping
Ground penetrating
Aircraft terrain avoidance
Law enforcement
Motion detectors
EuMW 2011
Radar Types
CW
Simple pulsed
Pulse Doppler
Pulse compression
Height finding
Multi-Mode
Monopulse
Phased array
Synthetic aperture (SAR)
Instrumentation
Over the horizon
EuMW 2011
Sample Radar Measurements
Basic measurements
• Pulse width
• PRI (Pulse Repetition interval)
• Pulse overshoot, undershoot, droop, rise and fall time
• Pulse to pulse jitter
• Pulse power
• Pulse amplitude
• Spur search
• Various carrier measurements
• PRI and modulation transition measures – mode changes
EuMW 2011
Pulse Measurements
EuMW 2011
Tools for Measuring Pulsed Radar Waveforms
General Purpose:
• Power Meter (peak and average)
• Counter
• Spectrum Analyzer
• Oscilloscope
Specialty:
• Pulse Analyzer System (time interval analysis)
• Noise Figure Analyzer (component measurements)
• Vector Network Analyzer (component, antenna)
Software:
• Vector Signal Analysis (VSA), Pulse Analysis, Pulse building software, etc
EuMW 2011
Measurement Tool Comparison
Spectrum Analyzer
• Wide Frequency Range
• Good Dynamic Range
• Limited Instantaneous Bandwidth
• Limited Time Capture Length
• Difficult to Measure Pulse Parameters
•Traditionally doesn’t capture phase information
Oscilloscope
• Wide Bandwidth
• Flexible
• Limited Time Capture Length vs. Pulse Analyzer
• Greater Overhead (Samples)
• Limited Frequency Range (No internal down-converter)
• Very Long Time Captures
• Very Precise Pulse Time Information
• Amplitude Measurements Optional (Digitizer)
Pulse Analyzer
EuMW 2011
Pulse Power Measurement – Power Meter
Peak power meter provides
graphical view detailing pulse
characteristics
Rise time, fall time, and pulse
width are shown below the trace
Power meters are typically the
most accurate tool for power
measurements
Spectrum/Signal Analyzer (SA) Time Domain Measurements
Spectrum analyzers can be used
like an oscilloscope to measure RF
pulse time domain
characteristics—in zero-span
mode
Trigger level and trigger delay
controls allow viewing the rising
edge of the pulse
Peak search markers can be used
to measure peak power.
EuMW 2011
Signal Analyzer Pulse Width Measurements
Increase trace points to
suitable range
Ensure RBW is wide enough
Use delta markers on pulse to
measure width.
EuMW 2011
Signal Analyzer Peak Power Measurements and RBW
Effects of RBW on pulse shape
Three pulse widths shown:
500 ns, 200 ns, and 100 ns
• To accurately measure peak
power, the analyzer bandwidth
must be wide enough to settle
within the pulse width.
• Bandwidth should be at least as
wide as the reciprocal of the
pulse width
EuMW 2011
SA Measurement of Pulse Repetition Interval (PRI)
Adjust display so that at least
two pulses are displayed
Use delta markers to display
the pulse repetition time.
EuMW 2011
Other Common SA Pulse Measurements
Line spectrum
Pulse spectrum
Pulse power
Spur search
EuMW 2011
Using Oscilloscopes for RF Pulse Measurements
EuMW 2011
Oscilloscope Pulse Measurements (Direct Capture)
Captured with
Oscilloscope
Analyzed with built in
math functions
(Low Pass Filter)
and Jitter analysis
(Trend and Statistics)
EuMW 2011
Scope Pulse Measurements (Direct Capture)
Direct capture maintains the modulation details
EuMW 2011
Use of Segmented Memory
Sub picosecond resolution on segment timing
Captured with
Oscilloscope, 1GB
of memory and 16
thousand 64k byte
segments. Last
burst 16 seconds
after the first
150km unambiguous
range – 1ms PRI
EuMW 2011
Scope PRI (Period) vs. Time
Measurement trending
identifies RADAR mode
changes vs. time
PW vs. Time can also
be displayed
Triggering on change in
PRI
Part of oscilloscope
"Jitter" measurement
package
EuMW 2011
Scope Pulse Envelope vs. Time
Pulse Width Trend
Captured with
Oscilloscope.
Analyzed with
built in Jitter
analysis
EuMW 2011
Radar Pulse Analysis SW (SA and Scope)
Captured with
Oscilloscope and
Pulse
Measurement
Software
EuMW 2011
Example Wideband LFM Chirp Measurements
EuMW 2011
Custom Radar Measurements with MATLAB
in the Oscilloscope Signal Processing Path
Custom
MATLAB
Function
Oscilloscope
Waveform
MATLAB
Applied Trace
Perform Additional
Scope Measurements
EuMW 2011
Start with Oscilloscope Waveform
Custom
MATLAB
Function
Oscilloscope
Waveform
MATLAB
Applied Trace
Perform Additional
Scope Measurements
EuMW 2011
Operate on Scope Waveform with Custom
MATLAB Function to Extract Pulsed RF Envelope
Custom MATLAB Function to
Calculate RF Pulse Envelope with
a Hilbert Transform
Custom
MATLAB
Function
Oscilloscope
Waveform
MATLAB
Applied Trace
Perform Additional
Scope Measurements
EuMW 2011
Display the RF Pulse Envelope
RF Pulse Envelope
Extracted from
Custom MATLAB
Function
Custom
MATLAB
Function
Oscilloscope
Waveform
MATLAB
Applied Trace
Perform Additional
Scope Measurements
EuMW 2011
Perform Scope Measurements on the RF Envelope
Drop Pre-Configured Scope
Measurements on Displayed Envelope
Measure RF Pulse Rise Time
Pre-Configured
Scope Measurements:
• Pulse Rise Time
• Pulse Fall Time
• Pulse Width
• Overshoot
Custom
MATLAB
Function
Oscilloscope
Waveform
MATLAB
Applied Trace
Perform Additional
Scope Measurements
EuMW 2011
Using Segmented Memory to Optimize the Number
of Radar Pulses Captured with 2 GSa Memory
Capture Only the “ON” Part of the Radar Pulse
X
Ignore the “OFF” Part of the Radar Pulse
Resulting Segmented Memory to Optimize the Number of Radar Pulses Captured
Segment 1 Segment 2 Segment 3 Segment 4 Segment 5 Segment 6 Segment 7 Segment 8
EuMW 2011
Segmented Memory:
Set Time Scale to Display the “ON” Part of the Radar Pulse
Adjust Time Scale to Only Display
the “ON” Part of the Radar Pulse
EuMW 2011
Segmented Memory:
Set the Number of Segments to Capture
EuMW 2011
Scroll Through
Each Segment to
Measure:
• Pulse Width
• Rise Time
• Fall Time
Of each individual
pulse
Segmented Memory:
Measure the Radar Pulse Parameters for Each Radar Pulse
EuMW 2011
Challenges for Radar Pulse Measurements
System level testing- characterize pulse timing for many
scenarios
Field/Flight testing is expensive- capture signals and
evaluate/characterize performance off-line
Need to evaluate a large number of pulses
Need to sort and categorize signals dependent on emitter
characteristics
EuMW 2011
Oscilloscope Signal Analyzer (OSA) Software
Continuous
Pulse
Acquisition or
Segmented
Acquisition
EuMW 2011
OSA Segmented File Capture Mode: Timing Measurements
Set Number of
Segments (e.g. 200)
Enable Auto-Analyze
to Automatically
Display Data
Binary files or .csv files for each segmented are
stored in this directory to analyze off-line
EuMW 2011
OSA Segmented File Capture Mode:
Frequency Measurements
Frequency
Excursion
and
Frequency
Deviation of
Each Pulse
Select
File>
Save>
Table Data
to store
.csv file
EuMW 2011
OSA Segmented File Capture Mode: Histogram Displays
Sort through and view
only pulses >1.8 GHz
frequency deviation and
>1 uSec pulse width
EuMW 2011
Evaluating Complex Waveforms: Frequency Hopped Example
EuMW 2011
Vector Signal Analysis of Pulses
EuMW 2011
RF Pulses with Modulation Embedded
Measurements for modulation on pulse (MOP)
• Modulation type (verify proper modulation)
• Modulation quality (e.g. distortions and nonlinearities)
• Phase vs. time or frequency
• Time and frequency selective measurements
• I/Q modulator gain/phase imbalance
• Demodulation analysis for pulse compression
applications
EuMW 2011
Spectrum analyzer
magnitude vs. frequency
magnitude vs. time
Vector vs. Scalar Measurements
Vector Signal Analyzer
magnitude vs. freq. or time
phase vs. freq. or time
gain, group delay
waveform capture
modulation analysis
IFRF
RF IF
Scalar Vector
Video
ADC
ADC
I
Q
RF Video
Power Meter
magnitude vs. time
EuMW 2011
What is VSA ?
• Vector Signal Analyzer (VSA)
– Vector detect an input signal (measure magnitude and phase of the
input signal)
• Measurement receiver with system architecture that is analogous to a
digital communications system
– In some sense the ultimate Software Defined Radio (SDR)
• Similar to FFT analyzer, but VSAs have powerful vector/modulation-
domain analysis for complex RADAR
– Time data Real I(t) & Imaginary Q (t)
– Phase verses Time or Frequency
– Time and frequency selective measurements
– Demodulates Carrier and extracts AM, PM, & FM
– User definable digital demodulator
– I-Q Modulator Gain/Phase Imbalance
EuMW 2011
Phase
0 deg
Phase Change
Phase
0 deg
Magnitude Change
0 deg
Both ChangeFrequency Change
0 deg
Signal Changes or Modifications (Polar Graph)
EuMW 2011
VSA Software Used in Digital, IF and RF Domains
DSP
Digital (SSI) IF/RFBB (I-Q)
Logic Analyzer Oscilloscope Signal Analyzer
DUT
EuMW 2011
90000X Wideband LFM Chirp Measurement with 89600 VSA
EuMW 2011
Chirped Phase
Chirped
Frequency
2 GHz
Log Magnitude
Envelope Amplitude
vs. Time
LFM Chirped
Spectrum Centered
at 10 GHz
6 us
2 GHz
90000X Wideband LFM Chirp Measurement with 89600 VSA
EuMW 2011
Vector Signal Analysis (Beyond Pulse Shape)
Pulse measurements help characterize a radar system,
Vector Signal Analysis helps detect the modulation
(signal changes)
46
EuMW 2011
Example of Chirp Demodulation
VSA software used to
demodulate a linear
FM chirped radar
signal
Displays of the signal
spectrum, pulse
envelope, phase
verses time, and
frequency verses time
are shown. 200 MHz LFM
chirp
measurement
EuMW 2011
Example of 7-Level Barker Code
89601A VSA used to
analyze a 7-bit barker
coded pulse
±180° phase modulation
in pattern
of + + + - - + - applied to
pulse
Displays of pulse
spectrum, IQ, pulse
envelope, and phase
verses time are shown.
EuMW 2011
Spectrogram of Frequency Hopper
Spectrogram shows
frequency on the
X-axis, time on the Y-
axis, and amplitude as
color
The spectrogram is an
excellent tool for
analyzing events that
are rapidly changing in
time.
EuMW 2011
Frequency vs. Time
Spectrogram shows temperature graded power over time
Current
point in
time
time
EuMW 2011
Using a Wideband Arbitrary Waveform Generator
for Advanced Signal Simulation
EuMW 2011
Currently Available High-Speed AWGs
Bandwidth
(GHz) 2)
0.5 1 2
1) SFDR across Nyquist range with fout = 150 MHz
2) Bandwidth of a single channel AWG output
4
SFDR 1)
40
50
60
70
80
What could you
do if you had
something here?
R&S
8
52
EuMW 2011
High-Precision AWG Example: CW Signal
Single tone
555 MHz
Fs = 7.2 GHz
Spurs: < -86 dBc
53
EuMW 2011
High-Precision AWG Example: Multi-Tone Signal
Multi-tone signal
with 200 tones,
3 GHz bandwidth
Fs = 7.2 GHz
without amplitude correction
54
EuMW 2011
Amplitude Correction Setup
• AWG and spectrum analyzer are
remotely controlled by a PC
running an amplitude correction
routine
• Magnitude of each tone in the
multi-tone signal is measured
and frequency response stored
in a file
• Pre-distorted multi-tone signal
calculated based on
measurement
• Multi-tone and equalization
scripts are available for free
AWG
PC running
Multi-tone and
equalization
routine
Remote
Control
Spectrum Analyzer
55
EuMW 2011
High-Precision AWG Example: Multi-Tone Signal
Multi-tone signal
with 200 tones,
3 GHz bandwidth
Fs = 7.2 GHz
with amplitude correction
56
EuMW 2011
High-Precision AWG Example: Pulsed Radar
Pulsed Radar:
2 GHz Linear Chirp
Pulse width: 6 ms
Fs = 7.2 GHz
with amplitude correction
57
EuMW 2011
High-Precision AWG Example: Pulsed Radar
Pulsed Radar:
2 GHz Linear Chirp
Pulse width: 6 μs
Fs = 7.2 GHz
with amplitude correction
2 GHz
58
EuMW 2011
High-Precision AWG Example: Pulsed Radar
2 GHz
Pulsed Radar:
2 GHz Linear Chirp
Pulse width: 6 μs
Fs = 7.2 GHz
with amplitude correction
59
EuMW 2011
High-Precision AWG Example: Fast Frequency Switching
Switching between
frequencies in a
2 GHz bandwidth
in less than 500 ps
Fs = 7.2 GHz
with amplitude correction
60
EuMW 2011
Upconversion of Wideband Signals
EuMW 2011
Two Upconversion Methods for Generating Complex Signals
Direct IF Upconversion
• Does not require correction for I-Q
impairments
• Simple to implement
• Lower cost AWG
• Lower total cost
• Must filter off unwanted sideband
Baseband I-Q Upconversion
• Requires an I-Q AWG
• Requires correction for I-Q
impairments (skew, offset error,
gain imbalance, timing error)
• At least 2X greater bandwidth for
same AWG clock rate
Arbitrary Waveform
Generator
I
Q
EuMW 2011
Mixer /
Multiplier
/ LO
Analog vs. Digital I/Q Modulation
Analog I/Q modulation –
Analog I and Q signals are
generated using an AWG.
An I/Q modulator generates the
IF or RF signal
Digital up-conversion –
I/Q modulation is performed
digitally – either in real-time (in
hardware) or up-front in software
AWG
D/A
D/A
Memory
Memory
Analog IQ Modulator
X
X
+
~
90°
AWG
Digital signal
Analog signal
D/A
X
X
+
~
90°
Memory
Memory
X
~
63
EuMW 2011
Analog I/Q Modulation Example (1/4)
Multi-tone signal
with 20 tones
spanning 2 GHz
Asymmetric with
respect to the
carrier frequency
Notice:
• Images
• Carrier
feed-through
• Non-Flatness
Theoretical signal
64
EuMW 2011
Analog I/Q Modulation Example (2/4)
Adjusting the skew
and relative
amplitude between
the I and Q signals
reduces the images
Typically, they can be
reduced to about -30
dBc
Theoretical signal
65
EuMW 2011
Analog I/Q Modulation Example (3/4)
Adjusting the
differential offset of
the I and Q signals
reduces the carrier
feed-through
Theoretical signal
66
EuMW 2011
Amplitude Correction Setup
• AWG and spectrum analyzer are
remotely controlled by a PC
running an equalization routine
• Magnitude of each tone in the
multi-tone signal is measured
and frequency response stored
in a file
• Pre-distorted multi-tone signal
can be calculated
AWG
Vector Signal Generator
Spectrum Analyzer
Remote
Control
PC running
Multi-tone and
equalization
routine
67
EuMW 2011
Analog I/Q Modulation Example (4/4)
With amplitude
correction, the
frequency response
can be adjusted to
be flat within less
than 0.5 dB
Theoretical signal
68
EuMW 2011
Digital I/Q Up-Conversion (1/2)
Digital up-conversion
avoids a few of the
problems associated
with analog I/Q
modulators:
•No (in-band) carrier
feed-through
•No (in-band)
images
BUT: Frequency
response is still not flat
69
EuMW 2011
Digital I/Q Up-Conversion (1/2)
With amplitude
correction, an almost
distortion-free RF
signal can be
generated
70
EuMW 2011
Agilent M8190A Arbitrary Waveform Generator
• Precision AWG with
DAC resolution of:
– 14 bit up to 8 GSa/s
– 12 bit up to 12 GSa/s*)
• Up to 2 GSa Arbitrary Waveform Memory per channel
• 5 GHz analog bandwidth per channel
• 3 selectable output paths: direct DAC, DC *) and AC*)
• SFDR goal: < -75 dBc typical (fout < 1 GHz, 14 bit mode, across Nyquist range)
• Harmonic distortion goal: < -65 dBc typical
• Advanced sequencing scenarios define stepping, looping, and conditional
jumps of waveforms or waveform sequences*)
• 2 markers per channel*) (does not reduce DAC resolution)
*) not available at initial product release 71
EuMW 2011
Radar & Electronic Warfare Threat
Simulation
EuMW 2011
Why is Threat Simulation Important?
• Real-world conditions may not be available to test a radar or
EW system
• Some system components may not be available and may
need to be simulated
• Less costly than flight testing
• Simulated emitters can be mixed with real-world emitters to
create a more realistic electromagnetic environment for
flight or static testing.
EuMW 2011
Fidelity of Simulation
What level of fidelity or quality is required?
• Fidelity of the model and data presented to systems and
operators must be adequate.
• In training simulation must be good enough to prevent the
operator from noticing any inaccuracies.
• In T&E simulation, must be adequate to provide injected
signal accuracy better than the perception threshold of the
system under test (SUT).
• In most cases, cost rises exponentially as a function of
fidelity provided. At some point a situation of diminishing
returns can be quickly reached.
EuMW 2011
What Signal Characteristics are Generally Simulated?
• Frequency, may include Doppler & possibly hopping
• Power or amplitude, generally adapted to changes in:
– Threat position, location, or attitude relative to SUT
– Operating mode of threat system
– Antenna patterns, including side and back lobes
– Antenna scanning characteristics
– Antenna polarization
• Modulation on pulse: AM, PM, FM, or other
• Pulse width (PW), can be mode dependent
• Pulse repetition time (PRT), also mode dependent
• Multiple threats and or Complex electronic order of battle (EOB)
EuMW 2011
Radar and Countermeasures
EuMW 2011
Some EW Terms
EA: Electronic Attack involves the use of EM
energy or anti-radiation weapons to attack
personnel, facilities, or equipment
ECM: Electronic counter measures, such as
jamming and chaff, used to deny or degrade the
enemy’s use of communications or radar
systems
DECM: Defensive ECM, such as a jammer used
to protect an aircraft from missile fire
ECCM: Electronic counter-counter measures,
countermeasures used to protect a radar from a
jammer
RWR: Radar Warning Receiver, warns a pilot of
a SAM or radar lock on
Jammer: EW transmitter used to interfere,
upset, or deceive a victim radar,
communications, or navigation system
• EP: Actions taken to protect personnel,
facilities, and equipment from any effects of
friendly or enemy use of EMS
• ES: Electronic Warfare Support is a
subdivision of EW involving search for,
intercept, identify, and locate sources of EM
energy for the purpose of threat recognition or
targeting
• EME: Electromagnetic Environment
• EOB: Electronic Order of Battle
• SIGINT: Signal Intelligence
• ELINT: Electronic Intelligence
• COMINT: Communications Intelligence
• ESM: Electronic Warfare Support Measures,
equipment to identify and locate radar
systems or EM emitters
• J/S: Jam to signal ratio
EuMW 2011
Radar Jammer Types
• CW
• Barrage Jammers: An attempt to “outshout” the opposing equipment through
continuous or high-duty cycle power within the desired frequency band—blot out the sun
technique
• Noise Jammer: Brute-force jamming by modulating the jamming signal with AM or
phase noise.
• Deceptive: Uses a repeater or frequency memory to provide a precise return that is
modified in time or frequency to interfere with missile fire control.
• Repeater Jammer: A jammer that modifies and retransmits hostile radar signals to deny
accurate position data
• Transponder Jammer: A repeater jammer that plays back a stored replica of the signal
after being triggered by the radar.
• Set-On-Jammer: A jammer that measures the threat radar frequency and adjusts a
sine-wave oscillator to retransmit the threat frequency
• Swept Spot Jammer: A jammer that sweeps an oscillator over a band of frequencies to
excite receivers tuned to frequencies in the band.
• Stand-In-Jamming (SIJ): A Jammer (aircraft) that accompanies a strike force into
combat air space—inside the range of defensive weapons
• Stand-Off-Jamming(SOJ): A system which provides jamming coverage for a strike
force, but does not enter inside the range of defensive weapons
EuMW 2011
Simplified Radar
• A portion of the transmitted energy is intercepted by the target and reradiated in all
directions
• The energy that is reradiated back to the radar is of prime interest to the radar
• The receiving antenna collects the returned energy and delivers it to the receiver, where
it is processed to:
• Detect the target
• Extract its location and relative velocity
• Direction, or angular position, of the target may be determined from the direction of
arrival of the returned signal, assuming a narrow antenna beam
• If relative motion exists between the target and radar, the shift in carrier frequency of the
reflected wave (Doppler Effect) is a measure of relative radial velocity of the target and
can be used to distinguish moving targets from stationary objects.
Transmitter
Receiver Target
Radar
79
EuMW 2011
Radar Range Measurement
• The maximum unambiguous range of a radar is the distance in which a
transmitted pulse can make a round trip at the speed of light before the
next pulse is transmitted.
• Therefore, long-range radars use very long pulse repetition times to avoid
range ambiguities.
Example: The maximum unambiguous range of a radar with a
1000 us PRT would be 150 m/µs X 1000 µs = 150 km
PW
PRT
( )PRIsm
PRI
c
PRF
c
R bunam μ/150
22
===
EuMW 2011
Spectrum of a Video Pulse Train
τ
T
Time
Amplitude
Frequency (f)
DC
T
1
1/τ 2/τ 3/τ 4/τ ∞
Spectral Lines
∑
∞
=
+=
0 /
)/sin(2
)(
n Tn
Tn
TT
fV
πτ
πτττ
EuMW 2011
Velocity Measurement
This is the result of the radial velocity difference between the
radar and the target. Therefore, the general equation would
be the vector dot product of the velocity vector and the radial
unit vector, or
R
Another important target characteristic measured by radar
systems is target velocity. This is accomplished by
measuring the Doppler shift of the transmitted signal.
The Doppler Frequency, fd is:
∧∧
== Rv
c
f
Rvfd
022
λ
( ) θcos
2ˆ2 00
c
vf
Rv
c
f
fd =•=
r
EuMW 2011
Doppler Example
If a 10 GHz aircraft radar were designed to handle an engagement with a
maximum closing velocity of 500 m/s (~ Mach 1.5) the maximum Doppler
frequency would be:
Recall from a couple of slides back that the spectrum of the pulse modulated
signal will have frequency lines that are spaced at intervals equal to the PRF
or 1/PRT. If the PRT were 1 ms then the frequency lines would be 1 kHz
apart. Each spectral line will also be Doppler shifted and could be
processed by the Velocity tracking circuits of the radar, thus producing
velocity ambiguities, if they are less than the maximum Doppler frequency.
Therefore:
• The lower the PRF > frequency ambiguity
• The higher the PRF > range ambiguity
kHz
x
smxsmV
fD 33
103
)/1010)(/500(22
8
9
===
λ
EuMW 2011
Three PRF Modes for Pulse Doppler
• Low PRF is unambiguous in range, but is
highly ambiguous in Velocity and is
excellent for target acquisition.
• Medium PRF radar:
– Is ambiguous in both range and velocity. It
is very useful in a tail-chase engagement
where closing velocities are low.
– May use multiple PRFs, each creating
ambiguity zones in the range / velocity
matrix. Processing can provide
unambiguous range and velocity
• High PRF radar is unambiguous in
velocity and may be used in a velocity
only mode making it ideal for a high-
speed head-on engagement.
EuMW 2011
Review of RF Pulse Characteristics
For simulation:
• Multiple PRF modes may be require to properly simulate a
given radar
• Complex dithering, wobbulation, or stagger of both PW
and PRF may be required in your simulation
• For an exacting simulation, PW and PRF jitter (caused by
poor power supply filtering in the radar) may also need to
be simulated.
EuMW 2011
Radar and Jammer Range Equation
EuMW 2011
Prediction of Maximum Radar Range
By equating our equation for minimum signal with the equation
describing signal level as a function of power, antenna gain, and range
we can solve for the maximum range of our radar system
max
43
22
min
0min
)4( R
GP
N
S
FBkTS T
o
o
nn
π
σλ
=⎟⎟
⎠
⎞
⎜⎜
⎝
⎛
=
RTnn
iT
LLNSFkTB
nEGP
R 3
22
4
)4)(/(
)(
π
σλ
=
As you can see we’ve added three new terms to account for system
losses and integration improvement
Now, we will convert our equation to log (dB) form
dBLLNSFBLogHzdBWnELogGPRLog RTnniT 33)/()(10/204)(202)(40 10 −−−−−−+++++= σλ
R
EuMW 2011
The Jammer Range Equation
Since the jammer signal only has a one-way path to the radar it will only experience
a 1/R2 loss, verses the 1/R4 loss experienced by the radar.
Again, we will start by looking at the free-space power density at the radar as
produced by the jammer, assuming spherical scattering.
The input power to the radar receiver, from the jammer, will then be the jammer’s
power density multiplied by the effective area of the radar’s antenna.
R
( ) 2
4 R
GP jj
j
π
ρ =
2
4 R
AGP
S
ejj
jR
π
= Where:
π
λ
4
2
G
Ae =
Therefore:
( ) 22
2
4 R
GGP
S
Rjj
jR
π
λ
=
EuMW 2011
Range Equation for the Jammer Cont’d.
Now we have an equation for the jammer’s signal power at the radar we can
compare it to the equation previously developed for the signal power at the radar’s
receiver due to the target’s skin return.
For the Jammer:
( ) 22
2
4 j
Rjj
jR
R
GGP
S
π
λ
= And for the radar: 43
2
)4( R
RTT
R
GGP
S
π
σλ
=
It is often convenient to relate the jamming signal strength to that of the radar’s skin
return strength as a jam to signal ratio (J/S).
( )
2
4
4
jTT
Rjj
RGP
RGP
S
J
σ
π
= If the jammer and radar range are equal, then
( )
σ
π
TT
jj
GP
RGP
S
J
2
4
=
Note: The above analysis assumes that the jammer antenna and the radar antenna
are pointed directly at each other (main lobe), which is very seldom the case.
Generally jamming is done on the radar antenna’s side lobes and a function must be
used to account for the difference in antenna gain. However, from this analysis it is
easy to see that the jammer has the advantage in most situations.
EuMW 2011
Antenna Pattern of a Pencil-Beam Antenna
Rectangular Aperture w/Uniform Weighting
-40
-35
-30
-25
-20
-15
-10
-5
0
-60 -40 -20 0 20 40 60
D
i
r
e
c
t
i
v
i
t
y
d
B
i
Angle (Degrees)
Side Lobes
1st Side Lobe
Level = -13.26 Main Beam
EuMW 2011
Typical Aircraft Jammer Antenna
EuMW 2011
Jammer Power Budget Example
( ) dBsmdBiTdBWTmdBijdBWj
dB
GPRLogdBGP
S
J σ−−−+++= )()(10)()( 2011
– Power PT = 250 kW = 54 dBW
– Ant Gain GT = 30 dBi
– RCS = σ = +20 dBsm
– Power PJ = 1 kW = 30 dBW
– Ant Gain GJ = 6 dBic
– Correction to H-Pol = -3 dB
– Range = 50 km = 94 dB
J/S = 30 dBW + 6 dBic – 3dB + 11 dB + 94 dB – 54 dBW – 30 dBi – 20 dBsm
= 34 dB
With 34 dB J/S the jammer could maintain a minimum 10 dB J/S ratio and still
fully Jam the radar down to a – 24 dB side-lobe level, which would obliterate
radar performance over most of the radar scan.
Victim Radar Jammer
EuMW 2011
Noise Jamming on Sidelobes
EuMW 2011
Agilent N7620A Signal Studio
for Pulse Building Software
I Q
EuMW 2011
User Interface Enhancements
• Two new pattern tabs: PRI and Antenna
• New graphical window displaying antenna scanning & timing patterns
• New graphical windows documenting antenna & timing patterns properties
• Flexible pattern table
EuMW 2011
Pulse Timing and Pattern Parameters
Pulse Repetition Interval
• Constant (none)
• Gaussian Jitter
• Uniform Jitter
• U shaped Jitter
• Linear Ramp
• Stepped
• Staggered
• Bursted
• Saw tooth Wobbulation
• Sinusoidal Wobbulation
•Triangle Wobbulation
Pulse Width Patterns
•Constant
•Gaussian Jitter
•Uniform Jitter
•Linear Ramp
•Stepped
New Features
Option 205 -QAWG
Option 206 – PSG/ESG
EuMW 2011
Pulse Repetition Interval Timing—Staggered
PRI
Time
EuMW 2011
Pulse Repetition Interval Timing— Stepped
PRI
Time
EuMW 2011
Pulse Repetition Interval Timing—Sine
Wobbulation
PRI
Time
EuMW 2011
Pulse Repetition Interval Timing—Linear Ramp
EuMW 2011
Antenna Radiation Patterns and Scanning
EuMW 2011
Antenna Parameters
Antenna Scanning Modes
None
Custom
Circular
Conical
Bidirectional Sector
Unidirectional Sector
Bidirectional Raster
Unidirectional Raster
Antenna Radiation Patterns
Blackman
Hamming
Hanning
Rectangular
3 Term
Cosine1
Cosine2
Cosine3
Cosine4
Cosine5
ProgrammableAntenna Properties
Azimuth 3 dB Beam Width
Elevation 3 dB Beam Width
Null depth - dB
EuMW 2011
Pulse Builder Option 205/206 New Antenna Scanning
EuMW 2011
Antenna Properties and Definitions
•Bore-Sight – Maximum gain of the
antennas main lobe or beam pointing at
the target.
•Bearing Angle - The bearing angle of
the target can be determined by moving
the antenna beam to the maximum
return.
•Beam width – ½ Power points in the
main lobe measured in angular width
AZ/EL degrees.
•Side Lobe Level - the level of energy
on the side lobes relative to the main
lobe or beam
•Back Lobe – the energy emitting in the
opposite direction of the main beam.
EuMW 2011
Antenna Pattern—Rectangular Aperture w/ Uniform
Weighting
-40
-35
-30
-25
-20
-15
-10
-5
0
-60 -40 -20 0 20 40 60
D
i
r
e
c
t
i
v
i
t
y
d
B
i
Angle (Degrees) Nulls
1st Side Lobe Level = -13.26
Side Lobes
Main Beam
3 dB Beam Width
Side Lobe Roll Off
EuMW 2011
Circular Antenna Pattern vs. Aperture Windowing
Functions (3 dB Beam Width AZ/EL = 2 Degrees, 7.2 degrees ~ 2 % of scan)
EuMW 2011
Generic Circular Antenna Scan
EuMW 2011
Generic Conical Antenna Scan
feed horn nutating in a small circular orbit
EuMW 2011
Generic Bidirectional Raster Antenna Scan
EuMW 2011
Generic Unidirectional Antenna Scan
EuMW 2011
Bi-Directional Sector Scan
EuMW 2011
Unidirectional Sector Antenna Scan
EuMW 2011
Coherent Multi-Channel & Diversity Systems
113
EuMW 2011
Spatial Diversity Techniques
Switched Diversity
Maximal Ratio Combining
Beamforming
Transmit Diversity
114
EuMW 2011
Phased Array Antennas & Beam Forming
Beam Forming Network
(BFN)
τ8τ7τ6τ5τ4τ3τ2τ1
Σ
115
EuMW 2011
Direction Finding
Phase interferometer angle of arrival (AoA) measurement
φ
φ
sinθ =
a
d
θ
φ = ωΔτ = 2πa
f
c
⎛
⎝
⎜
⎞
⎠
⎟ =
2π dsinθ( )
λ
a
d
AoA
116
EuMW 2011
Geo-Location Application
Interferometric Synthetic
Aperture Radar (InSAR) is
used in monitoring the effects
of earthquakes & floods, land
subsidence, glaciers, crop
sizes, etc.
Phase coherent, spatially
separated receiving system
using multiple receivers to
determine not only the position
of a target but also provide a
3-D image
When testing the receivers,
input signals to each
antenna must be phase
coherent
117
EuMW 2011
The Problem: Need Complete Control of Relative Phase,
Time, and Frequency of Multiple Signals
I/Q
Mod
Non-coherent
synthesizer
Output 1
Detector
I Q
I/Q
Mod
Output 2
ALC Loop
I Q
Timebase
X2N
X2N
Mod
Detector
ALC Loop
Mod
Non-coherent
synthesizer
Timebase
AWG
AWG
Synthesizer 1
Synthesizer 2
10 MHz
Two separate synthesizer
paths
Not coherent - phase
drifts over time
AWG timebase not synchronized
Non-synchronous triggering can cause
timing errors
Clock
Clock
Trigger
Trigger
A common
reference
provides
frequency
coherence but
not full phase
coherence
118
EuMW 2011
LO vs. Reference Locked Configurations
Note the difference in the Time and Phase
Offset scales
Most of the phase drift in the coherent case
can be attributed to the measuring receiver
(2 channel scope)
119
EuMW 2011
LO Locked Phase Coherent System
Multiple coherent outputs using synthesizer split technique
I/Q
Mod
Synthesizer Power
Splitter
Output 1
Detector
I Q
I/Q
Mod
Output 2
ALC Loop
I Q
Timebase
X2N
Doublers OK,
No dividers!
X2N
Mod
Detector
ALC Loop
Mod
One synthesizer path Both are
coherent
Separate
modulation chains
Outputs 1 & 2 are
constrained to have the
same carrier frequency
120
EuMW 2011
LO Locked Phase Coherent System
Baseband time and phase alignment
I/Q
Mod
Coherent
Synthesizer
Output 1
Detector
I Q
I/Q
Mod
Output 2
ALC Loop
I Q
Timebase
X2N
X2N
Mod
Detector
ALC Loop
Mod
ARB
ARB
Synthesizer 1
Synthesizer 2
Clock
Clock
Trigger
Trigger
Power
Splitter/Amp
External
Sample
Clock
External Sample
Clock
Common
External
Sample Clock
RF coherency
Common sample clock enables
baseband coherency
Trigger simultaneously for
baseband time alignment
121
EuMW 2011
I/Q
Mod
Coherent
Synthesizer
Output 1
Detector
I Q
I/Q
Mod
Output 2
ALC Loop
I Q
Timebase
X2N
X2N
Mod
Detector
ALC Loop
Mod
ARB
ARB
Synthesizer
1
Synthesizer 2
Clock
Clock
Trigger
Trigger
Power
Splitter/Amp
External
Clock
External
Clock
Common
External
Clock
Synthesizer 1
Synthesizer 2
The phase offset of each
signal generator can be
corrected by changing
the starting phase of the
I/Q waveform
Fixed phase offset due to
group delay of components
after synthesizer split
Fixed phase offset between
sources changes with
frequency, amplitude and
temperature
The Solution:
Using the baseband generator (AWG) to control
phase time and frequency
122
EuMW 2011
Frequency Reference and Phase Coherence Options
for the PSG
Out In
Doubler …
Option HCC > 3.2 GHz
Fractional-N
Synthesizer
Sampler /
Oscillator Loop
10 MHz
Reference In
Reference
Option
H1S
(1 GHz)
Out
In
Output
Option H1G (1 GHz)
Out In Phase stability for
100 kHz – 250 MHz
ΣOut
Option HCC
250 MHz - 3.2 GHz
Divider to achieve
frequencies below 3.2 GHzFine tunes frequency setting
…
External Reference
10 MHz
1 GHz
123
EuMW 2011
Performance of the Phase Stable Configuration
0
10
20
30
40
50
60
8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00
PhaseDrift(degrees)
Time of Day
Phase Stability Comparison
Common 10 MHz Reference
Common 1 GHz Reference with Internal Reference Bypass (Option
H1S)
Bypassing the
internal reference
enables much
improved phase
stability (20 x
improvement).
Note the
correlation in time
of day suggesting
room temperature
and air
conditioning play
a big factor in the
phase drift.
124
EuMW 2011
Phase Coherency on N5182A MXG (Option 012)
Configurations for 2 to 16 units
RF Output
RF Output
Master
MXG
Slave
MXG(s)
RF Output
10MHz Out
REF IN
EVENT 1
PATT TRIG
1
2
3
RF Output
4 way
splitter
N5181A
Master LO
EVENT 1
PATT TRIG
EVENT 1
PATT TRIG
10MHz Out
REF
IN
10MHz Out
REF IN
LO In
LO In
LO In
LO In
RF
Output
Signal Studio Software
WLAN or LTE for MIMO
applications
LAN
LAN
LAN
LAN
LAN
125
EuMW 2011
Additional Baseband Time Delay Adjustment
126
EuMW 2011
Phase Shift Capability
Will not independently
adjust the phase of the
waveform in a phase
coherent configuration
Analog phase shift for
standalone operation
(ESG, PSG, MXG)
Independently adjusts the phase of phase coherent
MXG signal generators without updating the waveform
Vector phase shift for phase
coherent operation (MXG)
127
EuMW 2011
CW Phase Adjustment
Modifying and downloading a new waveform file is not needed to adjust MXG phase coherent offsets. 128
Phase Shift.avi EuMW 2011
Waveform Creation Software Needed
Time and phase alignment
• Measure with network analyzer or oscilloscope
• Shift waveform to time and phase align
– Embedded phase shift capability in the MXG
– Add phase shift in waveform file
Waveform creation software
• Agilent Signal Studio for pulse building
• ADS and SystemVue modeling and simulation tools
• MATLAB
129
EuMW 2011
I/Q Waveform Polar & Rectangular Representation
Phase
Θ
Θ = 0 deg
Q
I
Add Φ
130
EuMW 2011
I2 + Q2|A| =(1) Where A is the baseband waveform amplitude
(2) A = I + jQ
A & Θ are the polar coordinates of the I & Q pair(3) A = |A|(cos Θ + jsin Θ)
Complex representation
Adding Phase to a Waveform File
• To add phase Φ to the I/Q constellation Phasor Q, multiply (3) by
(cos Φ + jsin Φ)
• Convert back to the form of (2) getting A = I’ + jQ’
• Scaling of the new waveform (I’/Q’ pairs) will be required to
maintain the identity (1) where “A” must remain constant
A waveform file is made up of a series of I/Q pairs
131
EuMW 2011
Summary and Conclusion
• Many methods for analyzing RF pulses
– Envelope
– Time interval
– Vector analysis of modulation on pulse
• Simulation of pulsed RF signals
– Arbitrary Waveform Generators (AWG)
– Radar and electronic warfare
– Phase coherent signal generation
132
EuMW 2011
Questions?
EuMW 2011

Más contenido relacionado

La actualidad más candente

Radar 2009 a 15 parameter estimation and tracking part 1
Radar 2009 a 15 parameter estimation and tracking part 1Radar 2009 a 15 parameter estimation and tracking part 1
Radar 2009 a 15 parameter estimation and tracking part 1Forward2025
 
Principle of FMCW radar
Principle of FMCW radarPrinciple of FMCW radar
Principle of FMCW radartobiasotto
 
Introduction to radar
Introduction to radarIntroduction to radar
Introduction to radarUlsah T N
 
Multi-Funtion Phased Array Radar
Multi-Funtion Phased Array RadarMulti-Funtion Phased Array Radar
Multi-Funtion Phased Array RadarMistral Solutions
 
Radar fundamentals
Radar fundamentalsRadar fundamentals
Radar fundamentalsAli Sufyan
 
Components of a Pulse Radar System
Components of a Pulse Radar SystemComponents of a Pulse Radar System
Components of a Pulse Radar SystemÜlger Ahmet
 
Active Phased Array Radar Systems
Active Phased Array Radar SystemsActive Phased Array Radar Systems
Active Phased Array Radar SystemsReza Taryghat
 
Radar 2009 a 19 electronic counter measures
Radar 2009 a 19 electronic counter measuresRadar 2009 a 19 electronic counter measures
Radar 2009 a 19 electronic counter measuresForward2025
 
Radar 2009 a 10 radar clutter1
Radar 2009 a 10 radar clutter1Radar 2009 a 10 radar clutter1
Radar 2009 a 10 radar clutter1Forward2025
 
Prediction of range performance
Prediction of range performancePrediction of range performance
Prediction of range performancebhupender rawat
 
Radar 2009 a 5 propagation effects
Radar 2009 a 5 propagation effectsRadar 2009 a 5 propagation effects
Radar 2009 a 5 propagation effectsForward2025
 
Electronic Warfare for the Republic of Singapore Air Force
Electronic Warfare for the Republic of Singapore Air ForceElectronic Warfare for the Republic of Singapore Air Force
Electronic Warfare for the Republic of Singapore Air ForceTBSS Group
 
5 pulse compression waveform
5 pulse compression waveform5 pulse compression waveform
5 pulse compression waveformSolo Hermelin
 

La actualidad más candente (20)

Radar 2009 a 15 parameter estimation and tracking part 1
Radar 2009 a 15 parameter estimation and tracking part 1Radar 2009 a 15 parameter estimation and tracking part 1
Radar 2009 a 15 parameter estimation and tracking part 1
 
Principle of FMCW radar
Principle of FMCW radarPrinciple of FMCW radar
Principle of FMCW radar
 
Introduction to radar
Introduction to radarIntroduction to radar
Introduction to radar
 
RADAR
RADAR RADAR
RADAR
 
Multi-Funtion Phased Array Radar
Multi-Funtion Phased Array RadarMulti-Funtion Phased Array Radar
Multi-Funtion Phased Array Radar
 
array and phased array antennna
array and phased array antennnaarray and phased array antennna
array and phased array antennna
 
radar principles
   radar principles    radar principles
radar principles
 
Radar fundamentals
Radar fundamentalsRadar fundamentals
Radar fundamentals
 
Components of a Pulse Radar System
Components of a Pulse Radar SystemComponents of a Pulse Radar System
Components of a Pulse Radar System
 
Active Phased Array Radar Systems
Active Phased Array Radar SystemsActive Phased Array Radar Systems
Active Phased Array Radar Systems
 
Radar system
Radar systemRadar system
Radar system
 
RADAR
RADARRADAR
RADAR
 
Radar 2009 a 19 electronic counter measures
Radar 2009 a 19 electronic counter measuresRadar 2009 a 19 electronic counter measures
Radar 2009 a 19 electronic counter measures
 
Radar 2009 a 10 radar clutter1
Radar 2009 a 10 radar clutter1Radar 2009 a 10 radar clutter1
Radar 2009 a 10 radar clutter1
 
Prediction of range performance
Prediction of range performancePrediction of range performance
Prediction of range performance
 
Radar 2009 a 5 propagation effects
Radar 2009 a 5 propagation effectsRadar 2009 a 5 propagation effects
Radar 2009 a 5 propagation effects
 
Radar Basics
Radar BasicsRadar Basics
Radar Basics
 
Electronic Warfare for the Republic of Singapore Air Force
Electronic Warfare for the Republic of Singapore Air ForceElectronic Warfare for the Republic of Singapore Air Force
Electronic Warfare for the Republic of Singapore Air Force
 
radar technology
radar technologyradar technology
radar technology
 
5 pulse compression waveform
5 pulse compression waveform5 pulse compression waveform
5 pulse compression waveform
 

Similar a Analysis for Radar and Electronic Warfare

Heart rate estimation of car driver using radar sensors and blind source sepa...
Heart rate estimation of car driver using radar sensors and blind source sepa...Heart rate estimation of car driver using radar sensors and blind source sepa...
Heart rate estimation of car driver using radar sensors and blind source sepa...Kitamura Laboratory
 
Power Quality Measurement Devices & Monotoring
Power Quality Measurement Devices & MonotoringPower Quality Measurement Devices & Monotoring
Power Quality Measurement Devices & MonotoringParth Patel
 
spectrum analyzers ppt
spectrum analyzers pptspectrum analyzers ppt
spectrum analyzers pptAvinash Jadhav
 
Color flow medical cardiac ultrasound
Color flow medical cardiac ultrasoundColor flow medical cardiac ultrasound
Color flow medical cardiac ultrasoundLarry Miller PhD
 
Vector Network Analyser for Microwave Measurement
Vector Network Analyser for Microwave MeasurementVector Network Analyser for Microwave Measurement
Vector Network Analyser for Microwave MeasurementAmala Putrevu
 
Spectrum Analyzer
Spectrum AnalyzerSpectrum Analyzer
Spectrum AnalyzerManasa K
 
Vibration Monitoring-Vibration Transducers-Vibration Troubleshooting
Vibration Monitoring-Vibration Transducers-Vibration TroubleshootingVibration Monitoring-Vibration Transducers-Vibration Troubleshooting
Vibration Monitoring-Vibration Transducers-Vibration TroubleshootingDhanesh S
 
BellaDati Platform for Vibration Analysis.pptx
BellaDati Platform for Vibration Analysis.pptxBellaDati Platform for Vibration Analysis.pptx
BellaDati Platform for Vibration Analysis.pptxMSDianRahulShinde
 
Acoustic & Range Sensors - Industrial Robotics.pptx
Acoustic & Range  Sensors - Industrial Robotics.pptxAcoustic & Range  Sensors - Industrial Robotics.pptx
Acoustic & Range Sensors - Industrial Robotics.pptxMedandraoKavyaSree
 
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Rohde & Schwarz North America
 
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline Olympus IMS
 

Similar a Analysis for Radar and Electronic Warfare (20)

I04655458
I04655458I04655458
I04655458
 
Heart rate estimation of car driver using radar sensors and blind source sepa...
Heart rate estimation of car driver using radar sensors and blind source sepa...Heart rate estimation of car driver using radar sensors and blind source sepa...
Heart rate estimation of car driver using radar sensors and blind source sepa...
 
Spectrum analyzer
Spectrum  analyzerSpectrum  analyzer
Spectrum analyzer
 
radar
radarradar
radar
 
Coffee can radar
Coffee can radarCoffee can radar
Coffee can radar
 
Power Quality Measurement Devices & Monotoring
Power Quality Measurement Devices & MonotoringPower Quality Measurement Devices & Monotoring
Power Quality Measurement Devices & Monotoring
 
Introduction to RADAR by NI
Introduction to RADAR by NIIntroduction to RADAR by NI
Introduction to RADAR by NI
 
spectrum analyzers ppt
spectrum analyzers pptspectrum analyzers ppt
spectrum analyzers ppt
 
Phasor Measurement Unit (PMU)
 Phasor Measurement Unit (PMU) Phasor Measurement Unit (PMU)
Phasor Measurement Unit (PMU)
 
Color flow medical cardiac ultrasound
Color flow medical cardiac ultrasoundColor flow medical cardiac ultrasound
Color flow medical cardiac ultrasound
 
Vector Network Analyser for Microwave Measurement
Vector Network Analyser for Microwave MeasurementVector Network Analyser for Microwave Measurement
Vector Network Analyser for Microwave Measurement
 
Spectrum Analyzer
Spectrum AnalyzerSpectrum Analyzer
Spectrum Analyzer
 
Ei unit 2
Ei unit 2Ei unit 2
Ei unit 2
 
Vibration Monitoring-Vibration Transducers-Vibration Troubleshooting
Vibration Monitoring-Vibration Transducers-Vibration TroubleshootingVibration Monitoring-Vibration Transducers-Vibration Troubleshooting
Vibration Monitoring-Vibration Transducers-Vibration Troubleshooting
 
BellaDati Platform for Vibration Analysis.pptx
BellaDati Platform for Vibration Analysis.pptxBellaDati Platform for Vibration Analysis.pptx
BellaDati Platform for Vibration Analysis.pptx
 
Acoustic & Range Sensors - Industrial Robotics.pptx
Acoustic & Range  Sensors - Industrial Robotics.pptxAcoustic & Range  Sensors - Industrial Robotics.pptx
Acoustic & Range Sensors - Industrial Robotics.pptx
 
Spectrum analyzer
Spectrum analyzerSpectrum analyzer
Spectrum analyzer
 
Lecture03.ppt
Lecture03.pptLecture03.ppt
Lecture03.ppt
 
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014Oscilloscope Fundamentals, Hands-On Course at EELive 2014
Oscilloscope Fundamentals, Hands-On Course at EELive 2014
 
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline
Diverse Uses of Advanced Ultrasonic Inspection Technologies for Pipeline
 

Más de Reza Taryghat

SideKick_0530810C_eng
SideKick_0530810C_engSideKick_0530810C_eng
SideKick_0530810C_engReza Taryghat
 
Inspection marine coating system
Inspection marine coating systemInspection marine coating system
Inspection marine coating systemReza Taryghat
 
epoxy coating comparison chart
epoxy coating comparison chartepoxy coating comparison chart
epoxy coating comparison chartReza Taryghat
 
BASICS ON COATINGS CHEMISTRY
BASICS ON COATINGS CHEMISTRYBASICS ON COATINGS CHEMISTRY
BASICS ON COATINGS CHEMISTRYReza Taryghat
 
Hempel Coating Reference Handbook
Hempel Coating Reference HandbookHempel Coating Reference Handbook
Hempel Coating Reference HandbookReza Taryghat
 

Más de Reza Taryghat (8)

SideKick_0530810C_eng
SideKick_0530810C_engSideKick_0530810C_eng
SideKick_0530810C_eng
 
Inspection marine coating system
Inspection marine coating systemInspection marine coating system
Inspection marine coating system
 
epoxy coating comparison chart
epoxy coating comparison chartepoxy coating comparison chart
epoxy coating comparison chart
 
BASICS ON COATINGS CHEMISTRY
BASICS ON COATINGS CHEMISTRYBASICS ON COATINGS CHEMISTRY
BASICS ON COATINGS CHEMISTRY
 
a can of paint
a can of painta can of paint
a can of paint
 
challenging puzzles
challenging puzzleschallenging puzzles
challenging puzzles
 
Hempel Coating Reference Handbook
Hempel Coating Reference HandbookHempel Coating Reference Handbook
Hempel Coating Reference Handbook
 
elements hazard HSE
elements hazard HSEelements hazard HSE
elements hazard HSE
 

Analysis for Radar and Electronic Warfare

  • 1. Techniques of Pulsed RF Signal Generation and Analysis for Radar and Electronic Warfare Applications John Hansen Senior Application Engineer October 12th, 2011
  • 2. Agenda • Radar applications, types and measurements • Basic pulse envelope measurements and tools • Power meters, signal analyzers, oscilloscopes, time interval analyzers • Vector signal analysis • Modulation on pulse (MOP) measurements and tools • Using a Wideband Arbitrary Waveform Generator for Advanced Signal Simulation • Upconversion of wideband signals • Radar & Electronic Warfare Threat Simulation • Radar and countermeasures/ range equations • Pulse timing and pattern parameters • Antenna radiation patterns and scanning • Coherent Multi-Channel & Diversity Systems EuMW 2011
  • 3. Radar Applications Surveillance Search Tracking Fire control Navigation Missile guidance Automotive collision avoidance Materials identification Atmospheric research Radar altimeters Proximity fuses Weather Ground mapping Ground penetrating Aircraft terrain avoidance Law enforcement Motion detectors EuMW 2011
  • 4. Radar Types CW Simple pulsed Pulse Doppler Pulse compression Height finding Multi-Mode Monopulse Phased array Synthetic aperture (SAR) Instrumentation Over the horizon EuMW 2011
  • 5. Sample Radar Measurements Basic measurements • Pulse width • PRI (Pulse Repetition interval) • Pulse overshoot, undershoot, droop, rise and fall time • Pulse to pulse jitter • Pulse power • Pulse amplitude • Spur search • Various carrier measurements • PRI and modulation transition measures – mode changes EuMW 2011
  • 7. Tools for Measuring Pulsed Radar Waveforms General Purpose: • Power Meter (peak and average) • Counter • Spectrum Analyzer • Oscilloscope Specialty: • Pulse Analyzer System (time interval analysis) • Noise Figure Analyzer (component measurements) • Vector Network Analyzer (component, antenna) Software: • Vector Signal Analysis (VSA), Pulse Analysis, Pulse building software, etc EuMW 2011
  • 8. Measurement Tool Comparison Spectrum Analyzer • Wide Frequency Range • Good Dynamic Range • Limited Instantaneous Bandwidth • Limited Time Capture Length • Difficult to Measure Pulse Parameters •Traditionally doesn’t capture phase information Oscilloscope • Wide Bandwidth • Flexible • Limited Time Capture Length vs. Pulse Analyzer • Greater Overhead (Samples) • Limited Frequency Range (No internal down-converter) • Very Long Time Captures • Very Precise Pulse Time Information • Amplitude Measurements Optional (Digitizer) Pulse Analyzer EuMW 2011
  • 9. Pulse Power Measurement – Power Meter Peak power meter provides graphical view detailing pulse characteristics Rise time, fall time, and pulse width are shown below the trace Power meters are typically the most accurate tool for power measurements
  • 10. Spectrum/Signal Analyzer (SA) Time Domain Measurements Spectrum analyzers can be used like an oscilloscope to measure RF pulse time domain characteristics—in zero-span mode Trigger level and trigger delay controls allow viewing the rising edge of the pulse Peak search markers can be used to measure peak power. EuMW 2011
  • 11. Signal Analyzer Pulse Width Measurements Increase trace points to suitable range Ensure RBW is wide enough Use delta markers on pulse to measure width. EuMW 2011
  • 12. Signal Analyzer Peak Power Measurements and RBW Effects of RBW on pulse shape Three pulse widths shown: 500 ns, 200 ns, and 100 ns • To accurately measure peak power, the analyzer bandwidth must be wide enough to settle within the pulse width. • Bandwidth should be at least as wide as the reciprocal of the pulse width EuMW 2011
  • 13. SA Measurement of Pulse Repetition Interval (PRI) Adjust display so that at least two pulses are displayed Use delta markers to display the pulse repetition time. EuMW 2011
  • 14. Other Common SA Pulse Measurements Line spectrum Pulse spectrum Pulse power Spur search EuMW 2011
  • 15. Using Oscilloscopes for RF Pulse Measurements EuMW 2011
  • 16. Oscilloscope Pulse Measurements (Direct Capture) Captured with Oscilloscope Analyzed with built in math functions (Low Pass Filter) and Jitter analysis (Trend and Statistics) EuMW 2011
  • 17. Scope Pulse Measurements (Direct Capture) Direct capture maintains the modulation details EuMW 2011
  • 18. Use of Segmented Memory Sub picosecond resolution on segment timing Captured with Oscilloscope, 1GB of memory and 16 thousand 64k byte segments. Last burst 16 seconds after the first 150km unambiguous range – 1ms PRI EuMW 2011
  • 19. Scope PRI (Period) vs. Time Measurement trending identifies RADAR mode changes vs. time PW vs. Time can also be displayed Triggering on change in PRI Part of oscilloscope "Jitter" measurement package EuMW 2011
  • 20. Scope Pulse Envelope vs. Time Pulse Width Trend Captured with Oscilloscope. Analyzed with built in Jitter analysis EuMW 2011
  • 21. Radar Pulse Analysis SW (SA and Scope) Captured with Oscilloscope and Pulse Measurement Software EuMW 2011
  • 22. Example Wideband LFM Chirp Measurements EuMW 2011
  • 23. Custom Radar Measurements with MATLAB in the Oscilloscope Signal Processing Path Custom MATLAB Function Oscilloscope Waveform MATLAB Applied Trace Perform Additional Scope Measurements EuMW 2011
  • 24. Start with Oscilloscope Waveform Custom MATLAB Function Oscilloscope Waveform MATLAB Applied Trace Perform Additional Scope Measurements EuMW 2011
  • 25. Operate on Scope Waveform with Custom MATLAB Function to Extract Pulsed RF Envelope Custom MATLAB Function to Calculate RF Pulse Envelope with a Hilbert Transform Custom MATLAB Function Oscilloscope Waveform MATLAB Applied Trace Perform Additional Scope Measurements EuMW 2011
  • 26. Display the RF Pulse Envelope RF Pulse Envelope Extracted from Custom MATLAB Function Custom MATLAB Function Oscilloscope Waveform MATLAB Applied Trace Perform Additional Scope Measurements EuMW 2011
  • 27. Perform Scope Measurements on the RF Envelope Drop Pre-Configured Scope Measurements on Displayed Envelope Measure RF Pulse Rise Time Pre-Configured Scope Measurements: • Pulse Rise Time • Pulse Fall Time • Pulse Width • Overshoot Custom MATLAB Function Oscilloscope Waveform MATLAB Applied Trace Perform Additional Scope Measurements EuMW 2011
  • 28. Using Segmented Memory to Optimize the Number of Radar Pulses Captured with 2 GSa Memory Capture Only the “ON” Part of the Radar Pulse X Ignore the “OFF” Part of the Radar Pulse Resulting Segmented Memory to Optimize the Number of Radar Pulses Captured Segment 1 Segment 2 Segment 3 Segment 4 Segment 5 Segment 6 Segment 7 Segment 8 EuMW 2011
  • 29. Segmented Memory: Set Time Scale to Display the “ON” Part of the Radar Pulse Adjust Time Scale to Only Display the “ON” Part of the Radar Pulse EuMW 2011
  • 30. Segmented Memory: Set the Number of Segments to Capture EuMW 2011
  • 31. Scroll Through Each Segment to Measure: • Pulse Width • Rise Time • Fall Time Of each individual pulse Segmented Memory: Measure the Radar Pulse Parameters for Each Radar Pulse EuMW 2011
  • 32. Challenges for Radar Pulse Measurements System level testing- characterize pulse timing for many scenarios Field/Flight testing is expensive- capture signals and evaluate/characterize performance off-line Need to evaluate a large number of pulses Need to sort and categorize signals dependent on emitter characteristics EuMW 2011
  • 33. Oscilloscope Signal Analyzer (OSA) Software Continuous Pulse Acquisition or Segmented Acquisition EuMW 2011
  • 34. OSA Segmented File Capture Mode: Timing Measurements Set Number of Segments (e.g. 200) Enable Auto-Analyze to Automatically Display Data Binary files or .csv files for each segmented are stored in this directory to analyze off-line EuMW 2011
  • 35. OSA Segmented File Capture Mode: Frequency Measurements Frequency Excursion and Frequency Deviation of Each Pulse Select File> Save> Table Data to store .csv file EuMW 2011
  • 36. OSA Segmented File Capture Mode: Histogram Displays Sort through and view only pulses >1.8 GHz frequency deviation and >1 uSec pulse width EuMW 2011
  • 37. Evaluating Complex Waveforms: Frequency Hopped Example EuMW 2011
  • 38. Vector Signal Analysis of Pulses EuMW 2011
  • 39. RF Pulses with Modulation Embedded Measurements for modulation on pulse (MOP) • Modulation type (verify proper modulation) • Modulation quality (e.g. distortions and nonlinearities) • Phase vs. time or frequency • Time and frequency selective measurements • I/Q modulator gain/phase imbalance • Demodulation analysis for pulse compression applications EuMW 2011
  • 40. Spectrum analyzer magnitude vs. frequency magnitude vs. time Vector vs. Scalar Measurements Vector Signal Analyzer magnitude vs. freq. or time phase vs. freq. or time gain, group delay waveform capture modulation analysis IFRF RF IF Scalar Vector Video ADC ADC I Q RF Video Power Meter magnitude vs. time EuMW 2011
  • 41. What is VSA ? • Vector Signal Analyzer (VSA) – Vector detect an input signal (measure magnitude and phase of the input signal) • Measurement receiver with system architecture that is analogous to a digital communications system – In some sense the ultimate Software Defined Radio (SDR) • Similar to FFT analyzer, but VSAs have powerful vector/modulation- domain analysis for complex RADAR – Time data Real I(t) & Imaginary Q (t) – Phase verses Time or Frequency – Time and frequency selective measurements – Demodulates Carrier and extracts AM, PM, & FM – User definable digital demodulator – I-Q Modulator Gain/Phase Imbalance EuMW 2011
  • 42. Phase 0 deg Phase Change Phase 0 deg Magnitude Change 0 deg Both ChangeFrequency Change 0 deg Signal Changes or Modifications (Polar Graph) EuMW 2011
  • 43. VSA Software Used in Digital, IF and RF Domains DSP Digital (SSI) IF/RFBB (I-Q) Logic Analyzer Oscilloscope Signal Analyzer DUT EuMW 2011
  • 44. 90000X Wideband LFM Chirp Measurement with 89600 VSA EuMW 2011
  • 45. Chirped Phase Chirped Frequency 2 GHz Log Magnitude Envelope Amplitude vs. Time LFM Chirped Spectrum Centered at 10 GHz 6 us 2 GHz 90000X Wideband LFM Chirp Measurement with 89600 VSA EuMW 2011
  • 46. Vector Signal Analysis (Beyond Pulse Shape) Pulse measurements help characterize a radar system, Vector Signal Analysis helps detect the modulation (signal changes) 46 EuMW 2011
  • 47. Example of Chirp Demodulation VSA software used to demodulate a linear FM chirped radar signal Displays of the signal spectrum, pulse envelope, phase verses time, and frequency verses time are shown. 200 MHz LFM chirp measurement EuMW 2011
  • 48. Example of 7-Level Barker Code 89601A VSA used to analyze a 7-bit barker coded pulse ±180° phase modulation in pattern of + + + - - + - applied to pulse Displays of pulse spectrum, IQ, pulse envelope, and phase verses time are shown. EuMW 2011
  • 49. Spectrogram of Frequency Hopper Spectrogram shows frequency on the X-axis, time on the Y- axis, and amplitude as color The spectrogram is an excellent tool for analyzing events that are rapidly changing in time. EuMW 2011
  • 50. Frequency vs. Time Spectrogram shows temperature graded power over time Current point in time time EuMW 2011
  • 51. Using a Wideband Arbitrary Waveform Generator for Advanced Signal Simulation EuMW 2011
  • 52. Currently Available High-Speed AWGs Bandwidth (GHz) 2) 0.5 1 2 1) SFDR across Nyquist range with fout = 150 MHz 2) Bandwidth of a single channel AWG output 4 SFDR 1) 40 50 60 70 80 What could you do if you had something here? R&S 8 52 EuMW 2011
  • 53. High-Precision AWG Example: CW Signal Single tone 555 MHz Fs = 7.2 GHz Spurs: < -86 dBc 53 EuMW 2011
  • 54. High-Precision AWG Example: Multi-Tone Signal Multi-tone signal with 200 tones, 3 GHz bandwidth Fs = 7.2 GHz without amplitude correction 54 EuMW 2011
  • 55. Amplitude Correction Setup • AWG and spectrum analyzer are remotely controlled by a PC running an amplitude correction routine • Magnitude of each tone in the multi-tone signal is measured and frequency response stored in a file • Pre-distorted multi-tone signal calculated based on measurement • Multi-tone and equalization scripts are available for free AWG PC running Multi-tone and equalization routine Remote Control Spectrum Analyzer 55 EuMW 2011
  • 56. High-Precision AWG Example: Multi-Tone Signal Multi-tone signal with 200 tones, 3 GHz bandwidth Fs = 7.2 GHz with amplitude correction 56 EuMW 2011
  • 57. High-Precision AWG Example: Pulsed Radar Pulsed Radar: 2 GHz Linear Chirp Pulse width: 6 ms Fs = 7.2 GHz with amplitude correction 57 EuMW 2011
  • 58. High-Precision AWG Example: Pulsed Radar Pulsed Radar: 2 GHz Linear Chirp Pulse width: 6 μs Fs = 7.2 GHz with amplitude correction 2 GHz 58 EuMW 2011
  • 59. High-Precision AWG Example: Pulsed Radar 2 GHz Pulsed Radar: 2 GHz Linear Chirp Pulse width: 6 μs Fs = 7.2 GHz with amplitude correction 59 EuMW 2011
  • 60. High-Precision AWG Example: Fast Frequency Switching Switching between frequencies in a 2 GHz bandwidth in less than 500 ps Fs = 7.2 GHz with amplitude correction 60 EuMW 2011
  • 61. Upconversion of Wideband Signals EuMW 2011
  • 62. Two Upconversion Methods for Generating Complex Signals Direct IF Upconversion • Does not require correction for I-Q impairments • Simple to implement • Lower cost AWG • Lower total cost • Must filter off unwanted sideband Baseband I-Q Upconversion • Requires an I-Q AWG • Requires correction for I-Q impairments (skew, offset error, gain imbalance, timing error) • At least 2X greater bandwidth for same AWG clock rate Arbitrary Waveform Generator I Q EuMW 2011
  • 63. Mixer / Multiplier / LO Analog vs. Digital I/Q Modulation Analog I/Q modulation – Analog I and Q signals are generated using an AWG. An I/Q modulator generates the IF or RF signal Digital up-conversion – I/Q modulation is performed digitally – either in real-time (in hardware) or up-front in software AWG D/A D/A Memory Memory Analog IQ Modulator X X + ~ 90° AWG Digital signal Analog signal D/A X X + ~ 90° Memory Memory X ~ 63 EuMW 2011
  • 64. Analog I/Q Modulation Example (1/4) Multi-tone signal with 20 tones spanning 2 GHz Asymmetric with respect to the carrier frequency Notice: • Images • Carrier feed-through • Non-Flatness Theoretical signal 64 EuMW 2011
  • 65. Analog I/Q Modulation Example (2/4) Adjusting the skew and relative amplitude between the I and Q signals reduces the images Typically, they can be reduced to about -30 dBc Theoretical signal 65 EuMW 2011
  • 66. Analog I/Q Modulation Example (3/4) Adjusting the differential offset of the I and Q signals reduces the carrier feed-through Theoretical signal 66 EuMW 2011
  • 67. Amplitude Correction Setup • AWG and spectrum analyzer are remotely controlled by a PC running an equalization routine • Magnitude of each tone in the multi-tone signal is measured and frequency response stored in a file • Pre-distorted multi-tone signal can be calculated AWG Vector Signal Generator Spectrum Analyzer Remote Control PC running Multi-tone and equalization routine 67 EuMW 2011
  • 68. Analog I/Q Modulation Example (4/4) With amplitude correction, the frequency response can be adjusted to be flat within less than 0.5 dB Theoretical signal 68 EuMW 2011
  • 69. Digital I/Q Up-Conversion (1/2) Digital up-conversion avoids a few of the problems associated with analog I/Q modulators: •No (in-band) carrier feed-through •No (in-band) images BUT: Frequency response is still not flat 69 EuMW 2011
  • 70. Digital I/Q Up-Conversion (1/2) With amplitude correction, an almost distortion-free RF signal can be generated 70 EuMW 2011
  • 71. Agilent M8190A Arbitrary Waveform Generator • Precision AWG with DAC resolution of: – 14 bit up to 8 GSa/s – 12 bit up to 12 GSa/s*) • Up to 2 GSa Arbitrary Waveform Memory per channel • 5 GHz analog bandwidth per channel • 3 selectable output paths: direct DAC, DC *) and AC*) • SFDR goal: < -75 dBc typical (fout < 1 GHz, 14 bit mode, across Nyquist range) • Harmonic distortion goal: < -65 dBc typical • Advanced sequencing scenarios define stepping, looping, and conditional jumps of waveforms or waveform sequences*) • 2 markers per channel*) (does not reduce DAC resolution) *) not available at initial product release 71 EuMW 2011
  • 72. Radar & Electronic Warfare Threat Simulation EuMW 2011
  • 73. Why is Threat Simulation Important? • Real-world conditions may not be available to test a radar or EW system • Some system components may not be available and may need to be simulated • Less costly than flight testing • Simulated emitters can be mixed with real-world emitters to create a more realistic electromagnetic environment for flight or static testing. EuMW 2011
  • 74. Fidelity of Simulation What level of fidelity or quality is required? • Fidelity of the model and data presented to systems and operators must be adequate. • In training simulation must be good enough to prevent the operator from noticing any inaccuracies. • In T&E simulation, must be adequate to provide injected signal accuracy better than the perception threshold of the system under test (SUT). • In most cases, cost rises exponentially as a function of fidelity provided. At some point a situation of diminishing returns can be quickly reached. EuMW 2011
  • 75. What Signal Characteristics are Generally Simulated? • Frequency, may include Doppler & possibly hopping • Power or amplitude, generally adapted to changes in: – Threat position, location, or attitude relative to SUT – Operating mode of threat system – Antenna patterns, including side and back lobes – Antenna scanning characteristics – Antenna polarization • Modulation on pulse: AM, PM, FM, or other • Pulse width (PW), can be mode dependent • Pulse repetition time (PRT), also mode dependent • Multiple threats and or Complex electronic order of battle (EOB) EuMW 2011
  • 77. Some EW Terms EA: Electronic Attack involves the use of EM energy or anti-radiation weapons to attack personnel, facilities, or equipment ECM: Electronic counter measures, such as jamming and chaff, used to deny or degrade the enemy’s use of communications or radar systems DECM: Defensive ECM, such as a jammer used to protect an aircraft from missile fire ECCM: Electronic counter-counter measures, countermeasures used to protect a radar from a jammer RWR: Radar Warning Receiver, warns a pilot of a SAM or radar lock on Jammer: EW transmitter used to interfere, upset, or deceive a victim radar, communications, or navigation system • EP: Actions taken to protect personnel, facilities, and equipment from any effects of friendly or enemy use of EMS • ES: Electronic Warfare Support is a subdivision of EW involving search for, intercept, identify, and locate sources of EM energy for the purpose of threat recognition or targeting • EME: Electromagnetic Environment • EOB: Electronic Order of Battle • SIGINT: Signal Intelligence • ELINT: Electronic Intelligence • COMINT: Communications Intelligence • ESM: Electronic Warfare Support Measures, equipment to identify and locate radar systems or EM emitters • J/S: Jam to signal ratio EuMW 2011
  • 78. Radar Jammer Types • CW • Barrage Jammers: An attempt to “outshout” the opposing equipment through continuous or high-duty cycle power within the desired frequency band—blot out the sun technique • Noise Jammer: Brute-force jamming by modulating the jamming signal with AM or phase noise. • Deceptive: Uses a repeater or frequency memory to provide a precise return that is modified in time or frequency to interfere with missile fire control. • Repeater Jammer: A jammer that modifies and retransmits hostile radar signals to deny accurate position data • Transponder Jammer: A repeater jammer that plays back a stored replica of the signal after being triggered by the radar. • Set-On-Jammer: A jammer that measures the threat radar frequency and adjusts a sine-wave oscillator to retransmit the threat frequency • Swept Spot Jammer: A jammer that sweeps an oscillator over a band of frequencies to excite receivers tuned to frequencies in the band. • Stand-In-Jamming (SIJ): A Jammer (aircraft) that accompanies a strike force into combat air space—inside the range of defensive weapons • Stand-Off-Jamming(SOJ): A system which provides jamming coverage for a strike force, but does not enter inside the range of defensive weapons EuMW 2011
  • 79. Simplified Radar • A portion of the transmitted energy is intercepted by the target and reradiated in all directions • The energy that is reradiated back to the radar is of prime interest to the radar • The receiving antenna collects the returned energy and delivers it to the receiver, where it is processed to: • Detect the target • Extract its location and relative velocity • Direction, or angular position, of the target may be determined from the direction of arrival of the returned signal, assuming a narrow antenna beam • If relative motion exists between the target and radar, the shift in carrier frequency of the reflected wave (Doppler Effect) is a measure of relative radial velocity of the target and can be used to distinguish moving targets from stationary objects. Transmitter Receiver Target Radar 79 EuMW 2011
  • 80. Radar Range Measurement • The maximum unambiguous range of a radar is the distance in which a transmitted pulse can make a round trip at the speed of light before the next pulse is transmitted. • Therefore, long-range radars use very long pulse repetition times to avoid range ambiguities. Example: The maximum unambiguous range of a radar with a 1000 us PRT would be 150 m/µs X 1000 µs = 150 km PW PRT ( )PRIsm PRI c PRF c R bunam μ/150 22 === EuMW 2011
  • 81. Spectrum of a Video Pulse Train τ T Time Amplitude Frequency (f) DC T 1 1/τ 2/τ 3/τ 4/τ ∞ Spectral Lines ∑ ∞ = += 0 / )/sin(2 )( n Tn Tn TT fV πτ πτττ EuMW 2011
  • 82. Velocity Measurement This is the result of the radial velocity difference between the radar and the target. Therefore, the general equation would be the vector dot product of the velocity vector and the radial unit vector, or R Another important target characteristic measured by radar systems is target velocity. This is accomplished by measuring the Doppler shift of the transmitted signal. The Doppler Frequency, fd is: ∧∧ == Rv c f Rvfd 022 λ ( ) θcos 2ˆ2 00 c vf Rv c f fd =•= r EuMW 2011
  • 83. Doppler Example If a 10 GHz aircraft radar were designed to handle an engagement with a maximum closing velocity of 500 m/s (~ Mach 1.5) the maximum Doppler frequency would be: Recall from a couple of slides back that the spectrum of the pulse modulated signal will have frequency lines that are spaced at intervals equal to the PRF or 1/PRT. If the PRT were 1 ms then the frequency lines would be 1 kHz apart. Each spectral line will also be Doppler shifted and could be processed by the Velocity tracking circuits of the radar, thus producing velocity ambiguities, if they are less than the maximum Doppler frequency. Therefore: • The lower the PRF > frequency ambiguity • The higher the PRF > range ambiguity kHz x smxsmV fD 33 103 )/1010)(/500(22 8 9 === λ EuMW 2011
  • 84. Three PRF Modes for Pulse Doppler • Low PRF is unambiguous in range, but is highly ambiguous in Velocity and is excellent for target acquisition. • Medium PRF radar: – Is ambiguous in both range and velocity. It is very useful in a tail-chase engagement where closing velocities are low. – May use multiple PRFs, each creating ambiguity zones in the range / velocity matrix. Processing can provide unambiguous range and velocity • High PRF radar is unambiguous in velocity and may be used in a velocity only mode making it ideal for a high- speed head-on engagement. EuMW 2011
  • 85. Review of RF Pulse Characteristics For simulation: • Multiple PRF modes may be require to properly simulate a given radar • Complex dithering, wobbulation, or stagger of both PW and PRF may be required in your simulation • For an exacting simulation, PW and PRF jitter (caused by poor power supply filtering in the radar) may also need to be simulated. EuMW 2011
  • 86. Radar and Jammer Range Equation EuMW 2011
  • 87. Prediction of Maximum Radar Range By equating our equation for minimum signal with the equation describing signal level as a function of power, antenna gain, and range we can solve for the maximum range of our radar system max 43 22 min 0min )4( R GP N S FBkTS T o o nn π σλ =⎟⎟ ⎠ ⎞ ⎜⎜ ⎝ ⎛ = RTnn iT LLNSFkTB nEGP R 3 22 4 )4)(/( )( π σλ = As you can see we’ve added three new terms to account for system losses and integration improvement Now, we will convert our equation to log (dB) form dBLLNSFBLogHzdBWnELogGPRLog RTnniT 33)/()(10/204)(202)(40 10 −−−−−−+++++= σλ R EuMW 2011
  • 88. The Jammer Range Equation Since the jammer signal only has a one-way path to the radar it will only experience a 1/R2 loss, verses the 1/R4 loss experienced by the radar. Again, we will start by looking at the free-space power density at the radar as produced by the jammer, assuming spherical scattering. The input power to the radar receiver, from the jammer, will then be the jammer’s power density multiplied by the effective area of the radar’s antenna. R ( ) 2 4 R GP jj j π ρ = 2 4 R AGP S ejj jR π = Where: π λ 4 2 G Ae = Therefore: ( ) 22 2 4 R GGP S Rjj jR π λ = EuMW 2011
  • 89. Range Equation for the Jammer Cont’d. Now we have an equation for the jammer’s signal power at the radar we can compare it to the equation previously developed for the signal power at the radar’s receiver due to the target’s skin return. For the Jammer: ( ) 22 2 4 j Rjj jR R GGP S π λ = And for the radar: 43 2 )4( R RTT R GGP S π σλ = It is often convenient to relate the jamming signal strength to that of the radar’s skin return strength as a jam to signal ratio (J/S). ( ) 2 4 4 jTT Rjj RGP RGP S J σ π = If the jammer and radar range are equal, then ( ) σ π TT jj GP RGP S J 2 4 = Note: The above analysis assumes that the jammer antenna and the radar antenna are pointed directly at each other (main lobe), which is very seldom the case. Generally jamming is done on the radar antenna’s side lobes and a function must be used to account for the difference in antenna gain. However, from this analysis it is easy to see that the jammer has the advantage in most situations. EuMW 2011
  • 90. Antenna Pattern of a Pencil-Beam Antenna Rectangular Aperture w/Uniform Weighting -40 -35 -30 -25 -20 -15 -10 -5 0 -60 -40 -20 0 20 40 60 D i r e c t i v i t y d B i Angle (Degrees) Side Lobes 1st Side Lobe Level = -13.26 Main Beam EuMW 2011
  • 91. Typical Aircraft Jammer Antenna EuMW 2011
  • 92. Jammer Power Budget Example ( ) dBsmdBiTdBWTmdBijdBWj dB GPRLogdBGP S J σ−−−+++= )()(10)()( 2011 – Power PT = 250 kW = 54 dBW – Ant Gain GT = 30 dBi – RCS = σ = +20 dBsm – Power PJ = 1 kW = 30 dBW – Ant Gain GJ = 6 dBic – Correction to H-Pol = -3 dB – Range = 50 km = 94 dB J/S = 30 dBW + 6 dBic – 3dB + 11 dB + 94 dB – 54 dBW – 30 dBi – 20 dBsm = 34 dB With 34 dB J/S the jammer could maintain a minimum 10 dB J/S ratio and still fully Jam the radar down to a – 24 dB side-lobe level, which would obliterate radar performance over most of the radar scan. Victim Radar Jammer EuMW 2011
  • 93. Noise Jamming on Sidelobes EuMW 2011
  • 94. Agilent N7620A Signal Studio for Pulse Building Software I Q EuMW 2011
  • 95. User Interface Enhancements • Two new pattern tabs: PRI and Antenna • New graphical window displaying antenna scanning & timing patterns • New graphical windows documenting antenna & timing patterns properties • Flexible pattern table EuMW 2011
  • 96. Pulse Timing and Pattern Parameters Pulse Repetition Interval • Constant (none) • Gaussian Jitter • Uniform Jitter • U shaped Jitter • Linear Ramp • Stepped • Staggered • Bursted • Saw tooth Wobbulation • Sinusoidal Wobbulation •Triangle Wobbulation Pulse Width Patterns •Constant •Gaussian Jitter •Uniform Jitter •Linear Ramp •Stepped New Features Option 205 -QAWG Option 206 – PSG/ESG EuMW 2011
  • 97. Pulse Repetition Interval Timing—Staggered PRI Time EuMW 2011
  • 98. Pulse Repetition Interval Timing— Stepped PRI Time EuMW 2011
  • 99. Pulse Repetition Interval Timing—Sine Wobbulation PRI Time EuMW 2011
  • 100. Pulse Repetition Interval Timing—Linear Ramp EuMW 2011
  • 101. Antenna Radiation Patterns and Scanning EuMW 2011
  • 102. Antenna Parameters Antenna Scanning Modes None Custom Circular Conical Bidirectional Sector Unidirectional Sector Bidirectional Raster Unidirectional Raster Antenna Radiation Patterns Blackman Hamming Hanning Rectangular 3 Term Cosine1 Cosine2 Cosine3 Cosine4 Cosine5 ProgrammableAntenna Properties Azimuth 3 dB Beam Width Elevation 3 dB Beam Width Null depth - dB EuMW 2011
  • 103. Pulse Builder Option 205/206 New Antenna Scanning EuMW 2011
  • 104. Antenna Properties and Definitions •Bore-Sight – Maximum gain of the antennas main lobe or beam pointing at the target. •Bearing Angle - The bearing angle of the target can be determined by moving the antenna beam to the maximum return. •Beam width – ½ Power points in the main lobe measured in angular width AZ/EL degrees. •Side Lobe Level - the level of energy on the side lobes relative to the main lobe or beam •Back Lobe – the energy emitting in the opposite direction of the main beam. EuMW 2011
  • 105. Antenna Pattern—Rectangular Aperture w/ Uniform Weighting -40 -35 -30 -25 -20 -15 -10 -5 0 -60 -40 -20 0 20 40 60 D i r e c t i v i t y d B i Angle (Degrees) Nulls 1st Side Lobe Level = -13.26 Side Lobes Main Beam 3 dB Beam Width Side Lobe Roll Off EuMW 2011
  • 106. Circular Antenna Pattern vs. Aperture Windowing Functions (3 dB Beam Width AZ/EL = 2 Degrees, 7.2 degrees ~ 2 % of scan) EuMW 2011
  • 107. Generic Circular Antenna Scan EuMW 2011
  • 108. Generic Conical Antenna Scan feed horn nutating in a small circular orbit EuMW 2011
  • 109. Generic Bidirectional Raster Antenna Scan EuMW 2011
  • 112. Unidirectional Sector Antenna Scan EuMW 2011
  • 113. Coherent Multi-Channel & Diversity Systems 113 EuMW 2011
  • 114. Spatial Diversity Techniques Switched Diversity Maximal Ratio Combining Beamforming Transmit Diversity 114 EuMW 2011
  • 115. Phased Array Antennas & Beam Forming Beam Forming Network (BFN) τ8τ7τ6τ5τ4τ3τ2τ1 Σ 115 EuMW 2011
  • 116. Direction Finding Phase interferometer angle of arrival (AoA) measurement φ φ sinθ = a d θ φ = ωΔτ = 2πa f c ⎛ ⎝ ⎜ ⎞ ⎠ ⎟ = 2π dsinθ( ) λ a d AoA 116 EuMW 2011
  • 117. Geo-Location Application Interferometric Synthetic Aperture Radar (InSAR) is used in monitoring the effects of earthquakes & floods, land subsidence, glaciers, crop sizes, etc. Phase coherent, spatially separated receiving system using multiple receivers to determine not only the position of a target but also provide a 3-D image When testing the receivers, input signals to each antenna must be phase coherent 117 EuMW 2011
  • 118. The Problem: Need Complete Control of Relative Phase, Time, and Frequency of Multiple Signals I/Q Mod Non-coherent synthesizer Output 1 Detector I Q I/Q Mod Output 2 ALC Loop I Q Timebase X2N X2N Mod Detector ALC Loop Mod Non-coherent synthesizer Timebase AWG AWG Synthesizer 1 Synthesizer 2 10 MHz Two separate synthesizer paths Not coherent - phase drifts over time AWG timebase not synchronized Non-synchronous triggering can cause timing errors Clock Clock Trigger Trigger A common reference provides frequency coherence but not full phase coherence 118 EuMW 2011
  • 119. LO vs. Reference Locked Configurations Note the difference in the Time and Phase Offset scales Most of the phase drift in the coherent case can be attributed to the measuring receiver (2 channel scope) 119 EuMW 2011
  • 120. LO Locked Phase Coherent System Multiple coherent outputs using synthesizer split technique I/Q Mod Synthesizer Power Splitter Output 1 Detector I Q I/Q Mod Output 2 ALC Loop I Q Timebase X2N Doublers OK, No dividers! X2N Mod Detector ALC Loop Mod One synthesizer path Both are coherent Separate modulation chains Outputs 1 & 2 are constrained to have the same carrier frequency 120 EuMW 2011
  • 121. LO Locked Phase Coherent System Baseband time and phase alignment I/Q Mod Coherent Synthesizer Output 1 Detector I Q I/Q Mod Output 2 ALC Loop I Q Timebase X2N X2N Mod Detector ALC Loop Mod ARB ARB Synthesizer 1 Synthesizer 2 Clock Clock Trigger Trigger Power Splitter/Amp External Sample Clock External Sample Clock Common External Sample Clock RF coherency Common sample clock enables baseband coherency Trigger simultaneously for baseband time alignment 121 EuMW 2011
  • 122. I/Q Mod Coherent Synthesizer Output 1 Detector I Q I/Q Mod Output 2 ALC Loop I Q Timebase X2N X2N Mod Detector ALC Loop Mod ARB ARB Synthesizer 1 Synthesizer 2 Clock Clock Trigger Trigger Power Splitter/Amp External Clock External Clock Common External Clock Synthesizer 1 Synthesizer 2 The phase offset of each signal generator can be corrected by changing the starting phase of the I/Q waveform Fixed phase offset due to group delay of components after synthesizer split Fixed phase offset between sources changes with frequency, amplitude and temperature The Solution: Using the baseband generator (AWG) to control phase time and frequency 122 EuMW 2011
  • 123. Frequency Reference and Phase Coherence Options for the PSG Out In Doubler … Option HCC > 3.2 GHz Fractional-N Synthesizer Sampler / Oscillator Loop 10 MHz Reference In Reference Option H1S (1 GHz) Out In Output Option H1G (1 GHz) Out In Phase stability for 100 kHz – 250 MHz ΣOut Option HCC 250 MHz - 3.2 GHz Divider to achieve frequencies below 3.2 GHzFine tunes frequency setting … External Reference 10 MHz 1 GHz 123 EuMW 2011
  • 124. Performance of the Phase Stable Configuration 0 10 20 30 40 50 60 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 PhaseDrift(degrees) Time of Day Phase Stability Comparison Common 10 MHz Reference Common 1 GHz Reference with Internal Reference Bypass (Option H1S) Bypassing the internal reference enables much improved phase stability (20 x improvement). Note the correlation in time of day suggesting room temperature and air conditioning play a big factor in the phase drift. 124 EuMW 2011
  • 125. Phase Coherency on N5182A MXG (Option 012) Configurations for 2 to 16 units RF Output RF Output Master MXG Slave MXG(s) RF Output 10MHz Out REF IN EVENT 1 PATT TRIG 1 2 3 RF Output 4 way splitter N5181A Master LO EVENT 1 PATT TRIG EVENT 1 PATT TRIG 10MHz Out REF IN 10MHz Out REF IN LO In LO In LO In LO In RF Output Signal Studio Software WLAN or LTE for MIMO applications LAN LAN LAN LAN LAN 125 EuMW 2011
  • 126. Additional Baseband Time Delay Adjustment 126 EuMW 2011
  • 127. Phase Shift Capability Will not independently adjust the phase of the waveform in a phase coherent configuration Analog phase shift for standalone operation (ESG, PSG, MXG) Independently adjusts the phase of phase coherent MXG signal generators without updating the waveform Vector phase shift for phase coherent operation (MXG) 127 EuMW 2011
  • 128. CW Phase Adjustment Modifying and downloading a new waveform file is not needed to adjust MXG phase coherent offsets. 128 Phase Shift.avi EuMW 2011
  • 129. Waveform Creation Software Needed Time and phase alignment • Measure with network analyzer or oscilloscope • Shift waveform to time and phase align – Embedded phase shift capability in the MXG – Add phase shift in waveform file Waveform creation software • Agilent Signal Studio for pulse building • ADS and SystemVue modeling and simulation tools • MATLAB 129 EuMW 2011
  • 130. I/Q Waveform Polar & Rectangular Representation Phase Θ Θ = 0 deg Q I Add Φ 130 EuMW 2011
  • 131. I2 + Q2|A| =(1) Where A is the baseband waveform amplitude (2) A = I + jQ A & Θ are the polar coordinates of the I & Q pair(3) A = |A|(cos Θ + jsin Θ) Complex representation Adding Phase to a Waveform File • To add phase Φ to the I/Q constellation Phasor Q, multiply (3) by (cos Φ + jsin Φ) • Convert back to the form of (2) getting A = I’ + jQ’ • Scaling of the new waveform (I’/Q’ pairs) will be required to maintain the identity (1) where “A” must remain constant A waveform file is made up of a series of I/Q pairs 131 EuMW 2011
  • 132. Summary and Conclusion • Many methods for analyzing RF pulses – Envelope – Time interval – Vector analysis of modulation on pulse • Simulation of pulsed RF signals – Arbitrary Waveform Generators (AWG) – Radar and electronic warfare – Phase coherent signal generation 132 EuMW 2011