SlideShare una empresa de Scribd logo
1 de 7
Descargar para leer sin conexión
IESE TRANSACTIONS

120

Computer-Aided
Signal

KARL

ON MfCROWAVE

THEORY

AND

TSCHNIQUES,

Determination

Equivalent
Microwave

HARTllIANN,

STUDENT

of the

IEEE,

J. O. STRUTT,

WILLI

KOTYCZKA,

FELLOW,

CIRCUIT

2, FEBRUARY

1972

SmaU-

MEMBER,

IEEE,

AND

IEEE

r-----+
%

C7

c ‘(couector)

II

b’(base)

0

R2

%= !1

EQUIVALENT

NO.

Clj

Abstract—The
actual technology for the production of transistors
is now suitable for bipolar transistors in the 1O-GHZ range. In order
to obtain amplifier circuits in this microwave range, the knowledge
of the exact equivalent circuit is essential. A computer method for
the determination
of the equivalent network is given. The final application and accuracy are shown for a particular microwave transistor.
1. THE

~-20,

Network
of a Bipolar
Transistor

MEMBER,

MAX

VOL.

OF AN INTRINSIC

u~e,

by

I’:Ya&.U~et

0

TRANSISTOR

IN COMMON

CONFIGURATION
EXTRINSIC

O

N THE
tion
imate

equivalent
which

BASIS

of the

only

neglected

RC line

of

direction

the

2). This

our

transistor

of the
[1],

capacitances

CI take

approx-

we

transistor

current

find

Im

into

connection

lows

CT).

’21 e’

at

Co and

CT are
the

in

the

backward

the

resistance

/

.

account
the

internal

base

Fig.

2.

increasing

frequency

Approximation

of the transadmittance

VZ1,’ is complex.

Im L

n

may
Because

4-to-8

GHz),

we

a circle

‘21e’

(Fig.

worse

want

to a defined

[3]

by

becomes

we only

relative

from

Pritchard

be approximated

Y21.’ by
zero

current

the

circle

the

frequency

approximate

the

(in

trans-

3, crossing

the

real

I
Fig.

(see Fig.

1) may

Re

equiv-

range

point.

I’

w

at increas-

to find

of Fig.

Y21.’.

zone,

aDOr

The

(C6,

1)

and

consideration

into

and

approximation

network

at its

elements

m

A

the

(Fig.

density

junction

RI takes

Yzl,’

admittance
axis

and extrinsic

slightly.

circle

case

Winkel

intrinsic

emitter-base

base

frequency.

alent

Te

The

transadmittance
that

Intrinsic

[10].

is doped

shows

1.

determina-

and

small

C6 and

resistance

between

ing

the

[2],

The

the
at

Fig.

experimental

elements

recombination,
elements.

which

the

by

of

valid

extrinsic

The

of

equations

e’(em[tter)

ELEMENTS

intrinsic

circuit
is

EMITTER

AND THE

be expressed

3.

as fol-

Oxtmate

fiiquency

range

Approximation
of the transadmittance
employed
in our computer
program.

rue’

as

:

~’ = Ul),e,” Y,I.I

This

equation

can

work

of Fig.

4. (It

= –
&

be represented
is possible

‘b’”’

=_

1/1

(1]

i- jwL7
by

the

to employ

additional

net-

additional

net-

Manuscript
received
January
18, 1971; revised
April
12, 1971.
The authors
are with
the Department
of Advanced
Electrical
Engineering,
Swiss Federal
Institute
of Technology,
Zurich, Switzerland.

Fig.

4.

Additional

network

for the transadmittance

Y21e/.
HAR’CMANN

et al.:

EQUNALF.!NT

NSTWORK

OF MICROWAVS

121

TRANSISTOR

II 1, COMPUTER-AIDED
EQUIVALENT
L,

L2

MEASURED
+

-+J)J=

A.

Relation

DETERMINATION

NETWORK

BASED

SCATTERING

Between

OF THE
ON THE

PARAMETERS

the Scattering

Parameters

awd the

Currents

As

0

Fig.

5. Equivalent
network
of microwave
transistor
package.
L1, and Lo—lead
inductances
between
the reference plane
(scattering
parameters)
and the package. L,, and L,—lead
inductances between the package edge and the gold wire connection. -&, Lf, and L-inductances
of the gold wires of the emitter,
base, and collector lead-in wires to the transistor
pill (L, = O,
because of the actual construction).
Cl, cZ, CS, and C4—capacltances of the package. C~—-capacitance between input and output.

is well

known

parameters
a pure

the

[6],

resistance

pedance,

In

of

our

source
output

terminals

value

Input

1)

Z

to

B. General

%
+
t-!!
n

1 V and

Additional

6.

First

the

are

I

1

I

based,

I

are

for

Relationship

between

s parameters

and

on
by

by

works
the

for

more

validity
The

complicated

of described

R8 and

elements

curves

without

impairing

the

method.)

transistor,
When

L7 are also

found

by

optimiza-

the

tion.

the

gold

including

this

first

complete

the

For

initial

this

proce-

values

said

element

of the

optimization

needed

only

complete

wires

are not

is
values

as initial

network

as,

as long

as in

pill.

optimization

network

con-

optimization

The
are

These

under

package,

The

of the

shorted

first

is

con-

optimization

the

method

pill)

wires.

range

the

The

later.

optimization

example,

this

gold

the
of

consecutive

and collector

short

estimation.

for

for

of the

measured

(without

frequency

which

we find
the

and

elements

error

the

two

base,

5 is used.

in detail

in
alone

obtaining

which

the currents.

sev-

range

the

with

comat

The

until

found

parameters

found

values.

very

the

values

7.

Fig.

is

using

elements,

a digital

measured

frequency

the emitter,

of Fig.

is described

using
are

package

within
used

(5)

limit.

transistor

scattering

– S,,).

are varied

circuit

shorted

are

(4)

calculated

a defined

values

network

dure

(2)

.s12

as compared

[11 ], while

package

50 Q, the

(3)

is found

circuit

the

sideration

the

the

equivalent

measured

of

with

is below

nections
for

to

.s21.

of a specified

parameters,

measured

network

Z. equal

parameters

points

equivalent

steps.

net’#Ork

Complete equivalent
circuit and additional
the complex transadmittance
I?z1,’.

network

compared

The

at the

of Optimization

scattering

frequency

ones,

R3

Fig.

equivalent

calculated

ug~

then

(1 – s,,)

= 0.01.(1

Procedure

The

of the

a voltage

and

Excitation:

1;’

are

“First

are valid.

11” = – 0.01

eral

by
im-

13xcitaiion:

Output

The

ports

reference

7).

12’ = – 0.01

puter.

the

terminals

11’ = 0.01

2)

scattering

at both

called

input

(see Fig.

equations

of the

Z== 20 = 50 ~.

at the

Uol = U02 is equal

If

definition

is terminated

case,

is applied

following

by

transistor

procedure

is taken

into

is terminated,

consideration

(Fig.

6),
11. EQUIVALENT

NETWORK

COMPLETE

In

FOR THE

the

elements

TRANSISTOR

package
For

microwave

influence

of the

transistors
package

parts

of the

leads

bining

Fig.

5 with

equivalent

network

(gold

we

as shown
wires)

Figs.
of the

1 and

have

may
4, we

transistor

to

in Fig.

consider
5. The

be neglected.
find

the

as shown

following
of the
alone

sections
entire

raises

only

the

transistor

optimization

is described

no special

of the

because

the

difficulties.

the
C. Determination

ohmic
Com-

complete
in Fiz.

Many
of the

6.

OJ the Elements

optimization
error

is based —on

function.
the

methods
The

corresponding

of the Transistor
are based

solution

on the gradient

of the

method

of

present
Fletcher

paper
and
122

IEEE TRANSACTIONS

Powell

[4].

Because

culated

frequently,

it

use of computer
as

possible,

their
tance

by

has

to

between

For
four

two

culate

the
[5]

We

input

we

calculate

quency

the

value.

frequency

the sum
has

sum

values

to

of the

errors

be

current

with

of the

the

squared

minimum

errors

is 2n if n is the

number

–IR. @R
‘j@IL
‘+L
juVc#Z

V1~v = Zm. IICV

+lCV

— GICV.

= Z.,.

%lDV

zii
AC

@rDT-

and
Un-

Origina[

range.

at each

of the

#R= R.CPB
*L =juL
. $L
Q. =ju C. +~

cal-

III-A).

frequency

number

VR=R.
IR
VL =jcoL. IL
Ic =jw C V,

is

we

input

(see Section
over

This

First

Component
of AP

Note; V and 1 are the voltage and current
in the original
network;
~ and @ are the voltage
and current
in the adjoint
network,

of the

to be calculated.

output

integrate

The

only

Sensitivity
(component
of ~)

Branch
Relation in Adjoint

Resistance
Inductance
Capacitance
Current-controlled
voltage source
(see Fig. 11)

transadmit-

1972

I

Branch
Relation

the

However,

are

calculations.

respectively
not

the

on

FEBRUARY

plement
Type

Function

value

and

do

based

elements

TECHNIQUES,

economical

[5].

since

AND

TABLE

be as simple
is

THEORY

be calcu-

limits.

network

excitation,

to

for

Rohrer

pill

parameters

with

output
like

and

The

frequency

scattering

possible

important

calculation

of the Error

every

has

its determination

be extended,

defined

Formation

gradient

Director

Yzle’ is complex.

varied
D.

that

gradient

paper

theory

said

is very

time
Our

excellent

the

ON MICROWAVE

Network

fre-

1

1

individual

of the

variable

elements.
5o11

Sum

E of the squared

errors

‘Y[wl’(.iw) U1’(jh))c

= -+
~

?
Q

k=l

] (~2’(joJk))c

(~2’(j@k))m

–

[2

+

W,’(jhc)

+

~1’’(j%)

I (~1’’(j~k)).

–

(~,’’(j%))m

w,’’(jm)

] (l,’’(jcok))c

–

(l,’’(jok))m

l’]

Fig. 8.

(Li)lOWer

number
~2n;

k’

individual

m

measured

c

of

j~h)

, ~,’(

~1”

( jtih),

jo~)

and

This
of the

a further

second

error

sum

function

network

limit,

sum

current

with

would

output

rapidly

comes

near

if
its

excitation.

limit.

the

this

elements
process,

attain

as the

But

we

the

to E.

physical

limit.

it is very

essential

that

chosen

variation

upper

exact

limits

program

their

the

the

this

definition

elements

are only

at

values

choose
If

useful

limits

corresponding

may

the

subroutine

of EL is not

definition

cannot

yond
zation

(8)

function.

that

be infinite.

W

used,

EL is added

function

input

ET is

sum

argue

minimization

L; be-

limit

of EL is

in the

varied

the

of .E~

optimi-

between

the

Li.

or lower

E. Calculation
ET

respectively.

Error

with

excitation.

increases

elements

current

excitation;

input

ju,)

could

because

output

with

limit;

W is the weight

where

functions;
and

network

EY=E+EL.

value;

weight
input

error

value;

output
Now,

total

value;

We

jak)

1’”(

upper

The

input
j+,),

lower

ith

and adjoint

values

J%+),

~~”(

11’ ( jcw) , 1“(

frequency

frequency

calculated

~1’(

ith

(LJ.PPe,

kl

Original

(6)

where

1,”(

Network

I

IZ

+

I

Adjoint

Y’;k

1’

– U,’(jw))m

of the Error

of the Gradient

Sum Function

EL
(Li)lower

+

1) Gradient

(-w..er

——

.
z

{x,

–

(L,),ower

(L,)..,.,

(7)

tion

}

-xi

is based

network

where

This

Xi

normalized

‘n

number

+ WI’’(joJJ

network
of variable

~(~l’’*(jq))C

element
network

(see

III-E);

With

elements;

– (~1’’”(jtih))~}

lowing

with
method
[5]

and

of the Error
on

the

its mutually
makes
the

Sum

pairing
use

definition

Function
of

adjoint
of

E: The

originally

network

a theorem

calculaspecified

(see Fig.

of Tellegen

of E one can

derive

13).
[7].

the

fol-

equations:

~(~,’’(j~k))c

wl’’(jow))c
+
13p

the

Wz’’(jbk)

[ (~2’’*(j@k))c

–

(~2’’*(j@k))m]
ap

1}

(9)
et al.:

HARTMANN

---B ----Eir_3

EQUIVALENT

NETWORK

oF

MIC3Z01VAVFi

TRANSISTOR

c,

-----

RL

T

I’

I

q

Original

Fig.

12,

network

Relation

Adjoint

between
original
and
current-contl-oiled
voltage

L4

network

adjoint
sour,:e.

network

for

a

-----

----

Fig. 9.

r————

I_’_’_- ‘—l

ic..??.2u!2??_o

(?2

C*

123

Transformed

network

corresponding

to Fig. 10.

CT

—---

RL
C*

R2

C3

I

I’

LA

-----

-.-—
Fig.

10.

Part

I’

of the

original
network
of
a broken line.

Fig.

6 as delimited

by

C7

L

1

AdJolnt

Additmr@{

netwc,rk

Fig. 13.

Complete

addltiona(

adjoint

[network

network

and adjoint

additional

network,

------------Fig. 11.

Transformed

network

corresponding

to Fig.

9.

where
Pth

P

network

Because

element;
for

=

ap

Re

~

(lo)

[s’+s”];

first-order

sensitivity

with

input

s“
Re

first-order

sensitivity

with

output

real

[5]

the

Now

[5],

directions

we must

Output

voltages
lated.

to

input

and

of Fig.

change

the

currents
the

measured

values,

8;

value,

the

UO1= 1 V,

U02 = O

necessary

branch

Fig.

original

network

output

currents

have

to

is not

work

and
we

line

network

of the

input

analyses,

excitation,

(see Fig.

of the

network

insert

are calcumust

the

have

very

8 are
sign

essential

of the

rela-

of the

been

may

Adjoint
In~at

sources

of Fig.

8.

part

deterorig-

by an interrupted
use of an additional

Y210’. The
to the

ad joint

original

9, its current

a further

The
of the

source

net-

network,

source

having

transformation

11.

source

voltage

voltage

to Fig.

UW., as a current-controlled
Ul, U2 as current-controlled

consider

voltage

of the

is equal

With

Fig.

is completely

network:

of the

is marked

because

part

transplaced.

We

following

network

6 which

10 is equivalent

w-e obtain

procedure

transadmittance

other

~’ is

one.

of the adjoint

simple

sensitivity

I.

This

previous
ad joint

the

The

to Table

in Fig.

for

+0.01.&.

excitation:

to the

inal

network

12’=

c) Determination

derived:

two

output

frequency

Because

I are

perform

excitation

every
and

of Table

have

Input

At

analogous

excitation;

i.e.,

according

mination

relations

with

a)

excitation;

part.

we

namely,

error

current

of 111-A;
b)

s’

the

tions

calculated

k=l

V.):

the

theory

k=n

dE

In

this

and

sources,

1’ depends

I)

(by
(by

l’)

on 1:

Network
Brarwh :
According
*elk’ =

((~1’’(jw))m

–

(Id’’),)

k

“ w’,’(jc.-%),

=

frequency

. point.
.

are
(11) .
.

treated
In

the

to

[5]

the

as shown
adjoint

current-controlled
in Fig.

network

voltage

sources

12.
we

must

insert

the

voltage
IEEE TRANSACTIONS

124

Q

ON MICROWAVE

THEORY

AND

TSCHNIQUJ=,

FEBRUARY

1972

d,

Read:
parameter

3) Initia(

values

b) Excitation-Response
situation
at thespeclfied

Apply

analysis

Cait

Uo, lvolt
=

store

-

program and

the branch

voltages

Form error excitation

and currents necessary
for gradierrt calculation

u~~=ovo(t

frequency points
{k )m ,(l;k )m,(l;k)m,(l;k)m
k=

r

the input excitation

L

~~1, ‘t’~2

1,.. ....n
!I

Calculate and store
part ial gradient

Form theerror
E;
relative to input excitation

components
excitation

the

Call analysis program
to calculate
the branch

—

for input
(grad’)

voltages

Appty error

excitation

to ad joint

and currents

V& ,$$2

network

!I

Cal[ anatysis
program and
store the branch vo(tage$

App[y the output excitation

u~, = o Vo(t
U02 = 1 volt

and currents
for

gradient

Apply error excitation %$,.’i’~2
Form error

necessary

excitation

‘i& ,4’~2

to ad joint network

calculation
1
,
r
Ca(culate

Calcu(ate the total
gradient

Form the error E;
relative to output excitation

partial

(grad’ + grad”)

and store

the

Cal 1 ana(ysis

partial gradient
components for output
excitation
(grad”)

—

-

program

to calcu(ate the branch
voltages
and currents

t

Yes

END

Adjust

network

parameters
according to
F(etcher - PoweN method
Fig.

source

(+)

into

source

of the

obtain

the

Except
I.

In

ad joint
for

gradient

the

controlling

controlled
network

case

must

“n

diagrams

The

be zero.

voltage
Thus

we

elements,

calculated
gradient

Go to r

for computer

the

according
component

partial

to Table

numerical

trast

would

Re

.

[S’+

Re

[

variable

have

verified

been

2)

Gradient
be determined

3) Normalization
For the
Elements:
OR1)’

–

(14)

(~Rl”@RI)”]O

gram

it

(in

the

our

sidered.

sensitivity

case
Thus

of the

I&),

the

the

controlling

controlled

relationship

branch

current
of (14)

has
has

elements
to

be con-

we

to unity

need
The

the

total

{ –

(~RiI[@R2

(1R2[@R2

+

+

method

leads

relationships

@R2’])’

@m’1)”}.

(15)

of this

EL:

Function

by a simple

analytical

of the Gradient
proper
that
(initial

normalized
normalized

axi

Re

by
the

con-

number
to

an

chapter

numerically.

dET

—

gradient

(n being

the

network

value
gradient

X~O) at

8E
—“t’”:
dxi

This

gradient

calculation.

and

optimization

of the Network
subroutine

elements
the

probe nor-

start.

Hence

components.

gradient

of the

dE
—+—
= ax{

ilEL

to be changed

as follows:

.

the

this

The

the Error

is essential

malized
For

Thus

saving.

Of

of

2n calculations

elements).
time

becomes

S”]

–(lR1o

determination
require

important

can

dlz
—.
8R1

optimization.

The

of

13.

branch

are

of RI the

Flow

of Fig.

the controlling

components
the

14.

branch.

branch

1

6’X;

error

function

is
HARTMANN

et Q1.:

EQUIVALENT

NETwORK

OF MICROWAVE

TRANSISTOR

125

1

—
78
-90”

Fig.

16.

Scattering
parameter
s,, (transistor
AT- IO IA:
Ic, 3 mA). A measured;
u calculated.

-1
Fig.
15.
AT-101A:

Scattering
parameters
su and siz (transistor
Avantek
UcE, 10V; lc, 3 mA).
A measured;
U calculated.

Ld

where

S,2

p’

initial

value

of the

P

actual

value

of the

This

computer

wave

transistor
Without

in
the

have

The

flow

in

Fig.

14.

the

Control

Data

Type

of Technology

bias

to

much

by
more

computer

used

for

which
of the

are

Collector—Base
Current

0165

0.023

.4

0.005

0.158

0,006

5

Im(SIZ)

laborious

17.

used

0 1s6

-00!5

6

-0026

0166

-0037

7

-0035

0162

-0050

8
—

Scattering

in

summarized

these

programs

is one

of the

computers

Swiss

Federal

Institute

computed
AT-101

BY

values
A)

is

This

final

model

C,=o. oll
C,=o. ool
C,= O.013
C,= O.005
C,= O.152
C,= O.316
C,=4.011

in the

frequency

AT-101A:

range

from

As a comparison,
and

those
shown

the

calculated
in

measured
with

Figs.

the

scattering
final

parameters,

computed

model,

15–17.

ACKNOWLEDGMENT

of a microwave
at

the

following

The

authors

Laboratory,

wish
Swiss

to

Federal

of the

above

thank
Institute

U.

Gysel,

Microwave

of Technology,

for

work.

REFERENCES

10 V
3 mA

C,= O.085

is valid

su (transistor
3 mA).

4 to 8 GHz.

his discussions

L,=o. zl
L2=0.20

parameter
10V; Ic,

APPLICATION

given:
Voltage

-0013

METHOD

Capacitances
(pF)

.

0032

UCE,

been

OBTAINED

Inductances
(nH)

L,= O.09
L,=O.31
L,3=0.36
L,=O.42

(S12)

OIL6

are

Avantek

L,=O.16

R?

0 IL5

computer

Fig.

programs

have

PRESENTED

the

(Type

conditions

Im(s12)

0146

8

the

PROGRAMS

RESULTS
THE

an example,

Reverse
Collector

4

of Zurich.

OF

As

6500,
Center

ACTUAL

transistor

from
calculation

network

procedure

computer

Computer

SOME

of the

above

The

of the

T7.

range

been

COMPUTER

diagrams

out

[GHZ]

0136

a micro.

[9]).
lV.

carrying

to

gradient

equivalent

would
and

applied

frequency

described

f

R@ (5,2)

element.
been

CALCULATED

0.162

of

optimization
[8]

the

the

determination

has

~,2

—

element;

network

program

GHz.

(see

network

MEAsuRED

[1]

Resistors
(Q)

[2]

R,=
14.8
R,=279.8
R,=
7.7
R,=
0.3

[3]
[4]

[5]

[6]

J. Te Winkel,
“Drift
transistor
simplified
electrical
characterization, ” Electron.
Radio Eng., vol. 36, 1959, pp. 28@-288.
W. Baechtold,
“The small-signal
and noise properties
of bipolar
transistors
in the frequency
range 0.6 to 4 GHz/s”
(in German),
thesis 4207, Swiss Fed. Inst. Tech., Zurich,
Switzerland.
R. L. Pritchard,
Electrical
Characteristics
qf Transistors.
New
York:
McGraw-Hill,
1967.
R. Fletcher
and M. J. D. Powell,
“A rapidly
convergent
descent
method
for minimization,”
Cow@.d. ~., vol. 6, no. 2, 1963, pp.
. .
163-168.
S. IV, Director
and R, A. Rohrer,
“Automated
network
design—
The frequency-domain
case, ” IEEE
Trans. Givcwit Theory, vol.
CT-16,
Aug. 1969, pp. 330--337.
Hewlett-Packard,
“S-parameters-Circuit
al]alysis
and
de-
IEEE TRANSACTIONS

126

ON MICROWAVE

sign, ” Application
Note 95, Sept. 1968.
[7] C. A. Desoer and E. S. Kuh, Basic Ciwait
Theory, vol. 2.
New
York:
McGraw-Hill,
1967.
[8] W. Thommen
and M. J. 0. Strutt,
“Noise figure of UHF Transisters, ” IEEE
T?am. Electron Devices, vol. ED-12,
Sept. 1965,
pp. 499–500.
[9] W. Thommen,
“Contribution
to the signal- and noise equivalent
circuit
of UHF
bipolar
transistors”
(in German),
thesis 3658,

Cavity

Perturbation

of the

ISMAIL

MEMBER,

IEEE,

AND

Swiss Fed. Inst. Tech., 1965, Zurich,
Switzerland.
W. Beachtcld
and M. J. O. Strutt,
“Noise in microwave
tranTrans.
-kfic~owave Theo~y Tech., vol. MTT-16,
sisters, ” IEEE
Sept. 1968, pp. 578-585.
K. Hartmann,
W. Kotyczka,
and M. J. 0. Strutt,
“~quivalent
networks
for three different
microwave
bipolar
transwtor
packages in the 2-10 GHz range, ” E1.ctYon. Lett., no. 18, Sept. 1971,
pp. 51@511.

[10]

[11]

for

C(IM

PLEX

GEORGE

semiconductor
T

two

ductor

slab

been

or

fills
to

reported

by

recently

achieved

with

the
this

that

is

the

for

used

Nag

is very

section

lems.

First,

enough
problem

between

the

in

attenuators

sample

should

the

due
and

re-

ple

at

other

phase

has

has

precise,
since

the

20 dB)
hand,

and
when

the

ac-

commercial

shifters.
the

The

fact

transverse

[10].

quency

shift

in the

interaction
sample
surement

of

placed
Manuscript
received
January
28, 1971; revised
May
28, 1971.
This work was supported
by the National
Aeronautics
and Space
Administration
under Grant NGL 23-005-183.
I. I. Eldumiati
is with Sensors, Inc., Ann Arbor,
Mich.
G. I. Haddad
is with the Electron
Physics Laboratory,
Department of Electrical
Engineering,
university
of Michigan,
Ann Arbor,
Mich. 48104.

under

a high
that

Q-factor,
the

er than
that
of

the

the

energy
the

and

energy

perturbing

the

the

If

the
sample

in the
material
can

the
meaas

sample
cavity

is chosen
is much
it can

parameters
be related

the

properties

sample
cavity,

samstrong

and

the

of a reentrant
the

defre-

the
The

for

size of the sample
within

by

cavity

material

stored
in

in

in the
post

con-

resonant

field,

suitable

the

to

techniques

inserting

perturbations.

stored

change

by

very

central

sam-

difficult

microwave

the

electric

fields

changes

external

guide

are measured
and

cavity

method

of small

a

result

the

change

the

this

of the

of the

perturbation

of maximum

between
Imakes

mode

be

is
sam-

InSb.

of a resonant

region

may

parameters

Q-factor

to the

surface

like

cavity

material

the

idea

problem

TEIO

measuring

for

mode

of a circular

scheme

material

with

erroneous
a

is normal

mode

a

gap

” Helm’s

contact

to the

This

air

even

to give

the

a TEIO

using

a small

suggested

the

converting

into

this
is

effect.

field

is tangential

by

The

termining
ple

by

method

is

that

large

sample

walls,

“gap

electric

a brittle

second

ductivity
[7]-

fact

boundary.

with

The

been

accuracy

mode,

fill

and

field

the

realize

the

guide

electric

very

to available

completely

surface,

rectangular
the

The

(nearly

a transmission

when

method

[4].

of the

prob-

get

the

shown
[6]

this

to

section;

is always

Helm

serious

cross

when

was

IEEE

hard

waveguide

effect

overcome

advantage

ple’s

serious

Recently,
to

two

is very

waveguide

and

this

MEMBER,

poses
it

there

sample

[5].

complex

the

is not

high

using

more

and

important

the

Second,

fitting,

results

cases

to fill

crystal.

SENIOR

waveguide

many

becomes

single

tight

Material

of the
in

samples

and

materials,
On

a

a semiconsection

This

method

small,

further

one

[1 ]– [3 ] and

and

reflection

is very

is degraded

standards

authors

Datta

to be measured
method

determine

of

measured

first

a waveguide

high-conductivity

phase-angle

curacy

been

the

coefficients.

many
by

the

with

VSWR

made

transmission

reviewed
especially

In

are

conductivity

has

methods.

completely

measurements
flection

material

different

Dielectric

I. HAD DAD ,

cross

takes

microwave

Measurement

and

transducer
INTIIODUCTION

MTT-20, NO. 2, FEBRUARY 1972

VOL.

Semiconductor

Abstract—Cavity perturbation
techniques offer a very sensitive
and highly versatile means for studying the complex microwave
conductivity
of a bulk material. A knowledge of the cavity coupling
factor in the absence of perturbation,
together with the change in the
reflected power and the cavity resonance frequency shift, are adequate for the determination
of the material properties. Thk eliminates the need to determine the @factor change with perturbation
which may lead to appreciable error, especially in the presence of
mismatch loss. The measurement
accuracy can also be improved by
a proper choice of the cavity coupling factor prior to the perturbation.

HE

TECHNIQUES,

Conductivity

of a Bulk

1, ELDUMIATI,

I.

AND

Techniques

Microwave

Constant

THEORY

is
with
such

small-

be shown
as a result

to

the

cavity

Más contenido relacionado

La actualidad más candente

Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...
Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...
Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...IJERA Editor
 
Nonlinear chaotic signals generation and transmission within an optical fiber...
Nonlinear chaotic signals generation and transmission within an optical fiber...Nonlinear chaotic signals generation and transmission within an optical fiber...
Nonlinear chaotic signals generation and transmission within an optical fiber...University of Malaya (UM)
 
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...theijes
 
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...IJEACS
 
New system of chaotic signal generation based on coupling coefficients applie...
New system of chaotic signal generation based on coupling coefficients applie...New system of chaotic signal generation based on coupling coefficients applie...
New system of chaotic signal generation based on coupling coefficients applie...University of Malaya (UM)
 
Design and Realization of 2.4GHz Branch-line Coupler
Design and Realization of 2.4GHz Branch-line CouplerDesign and Realization of 2.4GHz Branch-line Coupler
Design and Realization of 2.4GHz Branch-line CouplerQuang Binh Pham
 
Investigation on energy harvesting enabled device-to-device networks in prese...
Investigation on energy harvesting enabled device-to-device networks in prese...Investigation on energy harvesting enabled device-to-device networks in prese...
Investigation on energy harvesting enabled device-to-device networks in prese...TELKOMNIKA JOURNAL
 
EDEEC-Enhanced Distributed Energy Efficient Clustering Protocol for He...
EDEEC-Enhanced  Distributed  Energy  Efficient Clustering  Protocol  for   He...EDEEC-Enhanced  Distributed  Energy  Efficient Clustering  Protocol  for   He...
EDEEC-Enhanced Distributed Energy Efficient Clustering Protocol for He...IRJET Journal
 
Iaetsd design of a low power multiband clock distribution circuit
Iaetsd design of a low power multiband clock distribution circuitIaetsd design of a low power multiband clock distribution circuit
Iaetsd design of a low power multiband clock distribution circuitIaetsd Iaetsd
 
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...Saou-Wen Su
 
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...Mohamed Khaleeel
 
Optical power debugging in dwdm system having fixed gain amplifiers
Optical power debugging in dwdm system having fixed gain amplifiersOptical power debugging in dwdm system having fixed gain amplifiers
Optical power debugging in dwdm system having fixed gain amplifierseSAT Journals
 
A Review Paper on Power Consumption Improvements in WSN
A Review Paper on Power Consumption Improvements in WSNA Review Paper on Power Consumption Improvements in WSN
A Review Paper on Power Consumption Improvements in WSNIJERA Editor
 
On limits of Wireless Communications in a Fading Environment: a General Param...
On limits of Wireless Communications in a Fading Environment: a General Param...On limits of Wireless Communications in a Fading Environment: a General Param...
On limits of Wireless Communications in a Fading Environment: a General Param...ijeei-iaes
 

La actualidad más candente (19)

Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...
Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...
Modelling And Miniaturization of A 2-Bits Phase Shifter Using Koch Fractal Sh...
 
40220140501001
4022014050100140220140501001
40220140501001
 
Nonlinear chaotic signals generation and transmission within an optical fiber...
Nonlinear chaotic signals generation and transmission within an optical fiber...Nonlinear chaotic signals generation and transmission within an optical fiber...
Nonlinear chaotic signals generation and transmission within an optical fiber...
 
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...
Performance Analysis of a SIMO-OFDM System Using Different Diversity Combinin...
 
40120130405006 2
40120130405006 240120130405006 2
40120130405006 2
 
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...
The Approach on Influence of Biasing Circuit in Wideband Low Noise Amplifier ...
 
New system of chaotic signal generation based on coupling coefficients applie...
New system of chaotic signal generation based on coupling coefficients applie...New system of chaotic signal generation based on coupling coefficients applie...
New system of chaotic signal generation based on coupling coefficients applie...
 
Design and Realization of 2.4GHz Branch-line Coupler
Design and Realization of 2.4GHz Branch-line CouplerDesign and Realization of 2.4GHz Branch-line Coupler
Design and Realization of 2.4GHz Branch-line Coupler
 
Investigation on energy harvesting enabled device-to-device networks in prese...
Investigation on energy harvesting enabled device-to-device networks in prese...Investigation on energy harvesting enabled device-to-device networks in prese...
Investigation on energy harvesting enabled device-to-device networks in prese...
 
EDEEC-Enhanced Distributed Energy Efficient Clustering Protocol for He...
EDEEC-Enhanced  Distributed  Energy  Efficient Clustering  Protocol  for   He...EDEEC-Enhanced  Distributed  Energy  Efficient Clustering  Protocol  for   He...
EDEEC-Enhanced Distributed Energy Efficient Clustering Protocol for He...
 
Iaetsd design of a low power multiband clock distribution circuit
Iaetsd design of a low power multiband clock distribution circuitIaetsd design of a low power multiband clock distribution circuit
Iaetsd design of a low power multiband clock distribution circuit
 
I046044854
I046044854I046044854
I046044854
 
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...
A Probe-Fed Patch Antenna with a Step-Shaped Ground Plane for 2.4 GHz Access ...
 
Er4301866870
Er4301866870Er4301866870
Er4301866870
 
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...
Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy...
 
Optical power debugging in dwdm system having fixed gain amplifiers
Optical power debugging in dwdm system having fixed gain amplifiersOptical power debugging in dwdm system having fixed gain amplifiers
Optical power debugging in dwdm system having fixed gain amplifiers
 
A Review Paper on Power Consumption Improvements in WSN
A Review Paper on Power Consumption Improvements in WSNA Review Paper on Power Consumption Improvements in WSN
A Review Paper on Power Consumption Improvements in WSN
 
G1034247
G1034247G1034247
G1034247
 
On limits of Wireless Communications in a Fading Environment: a General Param...
On limits of Wireless Communications in a Fading Environment: a General Param...On limits of Wireless Communications in a Fading Environment: a General Param...
On limits of Wireless Communications in a Fading Environment: a General Param...
 

Destacado (19)

Cs344 lect15-robotic-knowledge-inferencing-prolog-11feb08
Cs344 lect15-robotic-knowledge-inferencing-prolog-11feb08Cs344 lect15-robotic-knowledge-inferencing-prolog-11feb08
Cs344 lect15-robotic-knowledge-inferencing-prolog-11feb08
 
Summer+training
Summer+trainingSummer+training
Summer+training
 
Networks 2
Networks 2Networks 2
Networks 2
 
Mcs student
Mcs studentMcs student
Mcs student
 
Scribed lec8
Scribed lec8Scribed lec8
Scribed lec8
 
4 03 2002_edited
4 03 2002_edited4 03 2002_edited
4 03 2002_edited
 
Mithfh lecturenotes 9
Mithfh lecturenotes 9Mithfh lecturenotes 9
Mithfh lecturenotes 9
 
Graphics display-devicesmod-1
Graphics display-devicesmod-1Graphics display-devicesmod-1
Graphics display-devicesmod-1
 
Slides15
Slides15Slides15
Slides15
 
Scholarship sc st
Scholarship sc stScholarship sc st
Scholarship sc st
 
Summer+training 2
Summer+training 2Summer+training 2
Summer+training 2
 
Math350 hw2solutions
Math350 hw2solutionsMath350 hw2solutions
Math350 hw2solutions
 
Summer2014 internship
Summer2014 internshipSummer2014 internship
Summer2014 internship
 
Ai ch2
Ai ch2Ai ch2
Ai ch2
 
Solutions1.1
Solutions1.1Solutions1.1
Solutions1.1
 
Line circle draw
Line circle drawLine circle draw
Line circle draw
 
Lec2 state space
Lec2 state spaceLec2 state space
Lec2 state space
 
Algorithms
AlgorithmsAlgorithms
Algorithms
 
Graphs In Data Structure
Graphs In Data StructureGraphs In Data Structure
Graphs In Data Structure
 

Similar a 01127694

8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018
8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE60188th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018
8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018UVCE
 
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...IJRES Journal
 
All optical network design with even and odd nodes
All optical network design with even and odd nodesAll optical network design with even and odd nodes
All optical network design with even and odd nodeseSAT Journals
 
circuit_modes_v5
circuit_modes_v5circuit_modes_v5
circuit_modes_v5Olivier Buu
 
Mini Project 2 - Impedance Matching With A Double Stub Tuner
Mini Project 2  -  Impedance Matching With A Double Stub TunerMini Project 2  -  Impedance Matching With A Double Stub Tuner
Mini Project 2 - Impedance Matching With A Double Stub TunerAIMST University
 
SymposiumPoster [Read-Only]
SymposiumPoster [Read-Only]SymposiumPoster [Read-Only]
SymposiumPoster [Read-Only]Eric Tsai
 
FPGA Design & Simulation Modeling of Baseband Data Transmission System
FPGA Design & Simulation Modeling of Baseband Data Transmission SystemFPGA Design & Simulation Modeling of Baseband Data Transmission System
FPGA Design & Simulation Modeling of Baseband Data Transmission SystemIOSR Journals
 
Project_Kaveh & Mohammad
Project_Kaveh & MohammadProject_Kaveh & Mohammad
Project_Kaveh & MohammadKaveh Dehno
 
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVELEVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVELPiero Belforte
 
Synchronization of Photo-voltaic system with a Grid
Synchronization of Photo-voltaic system with a GridSynchronization of Photo-voltaic system with a Grid
Synchronization of Photo-voltaic system with a GridIOSR Journals
 
A transmission line based technique for de-embedding noise parameters
A transmission line based technique for de-embedding noise parametersA transmission line based technique for de-embedding noise parameters
A transmission line based technique for de-embedding noise parametersvilla1451
 
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...fanfan he
 

Similar a 01127694 (20)

wireless power transfer
wireless power transferwireless power transfer
wireless power transfer
 
8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018
8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE60188th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018
8th Sem Subject Ofc 8th chapter notes by Lohith kumar 11GUEE6018
 
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For Th...
 
All optical network design with even and odd nodes
All optical network design with even and odd nodesAll optical network design with even and odd nodes
All optical network design with even and odd nodes
 
My mind.dot
My mind.dotMy mind.dot
My mind.dot
 
Thesis presentation
Thesis presentationThesis presentation
Thesis presentation
 
circuit_modes_v5
circuit_modes_v5circuit_modes_v5
circuit_modes_v5
 
Ci33514517
Ci33514517Ci33514517
Ci33514517
 
Ci33514517
Ci33514517Ci33514517
Ci33514517
 
Ci33514517
Ci33514517Ci33514517
Ci33514517
 
Mini Project 2 - Impedance Matching With A Double Stub Tuner
Mini Project 2  -  Impedance Matching With A Double Stub TunerMini Project 2  -  Impedance Matching With A Double Stub Tuner
Mini Project 2 - Impedance Matching With A Double Stub Tuner
 
SymposiumPoster [Read-Only]
SymposiumPoster [Read-Only]SymposiumPoster [Read-Only]
SymposiumPoster [Read-Only]
 
M010219295
M010219295M010219295
M010219295
 
FPGA Design & Simulation Modeling of Baseband Data Transmission System
FPGA Design & Simulation Modeling of Baseband Data Transmission SystemFPGA Design & Simulation Modeling of Baseband Data Transmission System
FPGA Design & Simulation Modeling of Baseband Data Transmission System
 
Project_Kaveh & Mohammad
Project_Kaveh & MohammadProject_Kaveh & Mohammad
Project_Kaveh & Mohammad
 
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVELEVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
 
Synchronization of Photo-voltaic system with a Grid
Synchronization of Photo-voltaic system with a GridSynchronization of Photo-voltaic system with a Grid
Synchronization of Photo-voltaic system with a Grid
 
Simulation Models of Energy Cables in SPICE
Simulation Models of Energy Cables in SPICESimulation Models of Energy Cables in SPICE
Simulation Models of Energy Cables in SPICE
 
A transmission line based technique for de-embedding noise parameters
A transmission line based technique for de-embedding noise parametersA transmission line based technique for de-embedding noise parameters
A transmission line based technique for de-embedding noise parameters
 
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...
A Planar Magic-T Structure Using Substrate Integrated Circuits Concept and It...
 

Más de Praveen Kumar

Más de Praveen Kumar (14)

Matching
MatchingMatching
Matching
 
Lecture3
Lecture3Lecture3
Lecture3
 
Graphtheory
GraphtheoryGraphtheory
Graphtheory
 
Games.4
Games.4Games.4
Games.4
 
Dda line-algorithm
Dda line-algorithmDda line-algorithm
Dda line-algorithm
 
Cse3461.c.signal encoding.09 04-2012
Cse3461.c.signal encoding.09 04-2012Cse3461.c.signal encoding.09 04-2012
Cse3461.c.signal encoding.09 04-2012
 
Comerv3 1-12(2)
Comerv3 1-12(2)Comerv3 1-12(2)
Comerv3 1-12(2)
 
Cimplementation
CimplementationCimplementation
Cimplementation
 
Artificial intelligence lecturenotes.v.1.0.4
Artificial intelligence lecturenotes.v.1.0.4Artificial intelligence lecturenotes.v.1.0.4
Artificial intelligence lecturenotes.v.1.0.4
 
Aipapercpt
AipapercptAipapercpt
Aipapercpt
 
445 colouring0
445 colouring0445 colouring0
445 colouring0
 
1452 86301000013 m
1452 86301000013 m1452 86301000013 m
1452 86301000013 m
 
427lects
427lects427lects
427lects
 
10 linescan
10 linescan10 linescan
10 linescan
 

Último

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 

Último (20)

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 

01127694

  • 1. IESE TRANSACTIONS 120 Computer-Aided Signal KARL ON MfCROWAVE THEORY AND TSCHNIQUES, Determination Equivalent Microwave HARTllIANN, STUDENT of the IEEE, J. O. STRUTT, WILLI KOTYCZKA, FELLOW, CIRCUIT 2, FEBRUARY 1972 SmaU- MEMBER, IEEE, AND IEEE r-----+ % C7 c ‘(couector) II b’(base) 0 R2 %= !1 EQUIVALENT NO. Clj Abstract—The actual technology for the production of transistors is now suitable for bipolar transistors in the 1O-GHZ range. In order to obtain amplifier circuits in this microwave range, the knowledge of the exact equivalent circuit is essential. A computer method for the determination of the equivalent network is given. The final application and accuracy are shown for a particular microwave transistor. 1. THE ~-20, Network of a Bipolar Transistor MEMBER, MAX VOL. OF AN INTRINSIC u~e, by I’:Ya&.U~et 0 TRANSISTOR IN COMMON CONFIGURATION EXTRINSIC O N THE tion imate equivalent which BASIS of the only neglected RC line of direction the 2). This our transistor of the [1], capacitances CI take approx- we transistor current find Im into connection lows CT). ’21 e’ at Co and CT are the in the backward the resistance / . account the internal base Fig. 2. increasing frequency Approximation of the transadmittance VZ1,’ is complex. Im L n may Because 4-to-8 GHz), we a circle ‘21e’ (Fig. worse want to a defined [3] by becomes we only relative from Pritchard be approximated Y21.’ by zero current the circle the frequency approximate the (in trans- 3, crossing the real I Fig. (see Fig. 1) may Re equiv- range point. I’ w at increas- to find of Fig. Y21.’. zone, aDOr The (C6, 1) and consideration into and approximation network at its elements m A the (Fig. density junction RI takes Yzl,’ admittance axis and extrinsic slightly. circle case Winkel intrinsic emitter-base base frequency. alent Te The transadmittance that Intrinsic [10]. is doped shows 1. determina- and small C6 and resistance between ing the [2], The the at Fig. experimental elements recombination, elements. which the by of valid extrinsic The of equations e’(em[tter) ELEMENTS intrinsic circuit is EMITTER AND THE be expressed 3. as fol- Oxtmate fiiquency range Approximation of the transadmittance employed in our computer program. rue’ as : ~’ = Ul),e,” Y,I.I This equation can work of Fig. 4. (It = – & be represented is possible ‘b’”’ =_ 1/1 (1] i- jwL7 by the to employ additional net- additional net- Manuscript received January 18, 1971; revised April 12, 1971. The authors are with the Department of Advanced Electrical Engineering, Swiss Federal Institute of Technology, Zurich, Switzerland. Fig. 4. Additional network for the transadmittance Y21e/.
  • 2. HAR’CMANN et al.: EQUNALF.!NT NSTWORK OF MICROWAVS 121 TRANSISTOR II 1, COMPUTER-AIDED EQUIVALENT L, L2 MEASURED + -+J)J= A. Relation DETERMINATION NETWORK BASED SCATTERING Between OF THE ON THE PARAMETERS the Scattering Parameters awd the Currents As 0 Fig. 5. Equivalent network of microwave transistor package. L1, and Lo—lead inductances between the reference plane (scattering parameters) and the package. L,, and L,—lead inductances between the package edge and the gold wire connection. -&, Lf, and L-inductances of the gold wires of the emitter, base, and collector lead-in wires to the transistor pill (L, = O, because of the actual construction). Cl, cZ, CS, and C4—capacltances of the package. C~—-capacitance between input and output. is well known parameters a pure the [6], resistance pedance, In of our source output terminals value Input 1) Z to B. General % + t-!! n 1 V and Additional 6. First the are I 1 I based, I are for Relationship between s parameters and on by by works the for more validity The complicated of described R8 and elements curves without impairing the method.) transistor, When L7 are also found by optimiza- the tion. the gold including this first complete the For initial this proce- values said element of the optimization needed only complete wires are not is values as initial network as, as long as in pill. optimization network con- optimization The are These under package, The of the shorted first is con- optimization the method pill) wires. range the The later. optimization example, this gold the of consecutive and collector short estimation. for for of the measured (without frequency which we find the and elements error the two base, 5 is used. in detail in alone obtaining which the currents. sev- range the with comat The until found parameters found values. very the values 7. Fig. is using elements, a digital measured frequency the emitter, of Fig. is described using are package within used (5) limit. transistor scattering – S,,). are varied circuit shorted are (4) calculated a defined values network dure (2) .s12 as compared [11 ], while package 50 Q, the (3) is found circuit the sideration the the equivalent measured of with is below nections for to .s21. of a specified parameters, measured network Z. equal parameters points equivalent steps. net’#Ork Complete equivalent circuit and additional the complex transadmittance I?z1,’. network compared The at the of Optimization scattering frequency ones, R3 Fig. equivalent calculated ug~ then (1 – s,,) = 0.01.(1 Procedure The of the a voltage and Excitation: 1;’ are “First are valid. 11” = – 0.01 eral by im- 13xcitaiion: Output The ports reference 7). 12’ = – 0.01 puter. the terminals 11’ = 0.01 2) scattering at both called input (see Fig. equations of the Z== 20 = 50 ~. at the Uol = U02 is equal If definition is terminated case, is applied following by transistor procedure is taken into is terminated, consideration (Fig. 6), 11. EQUIVALENT NETWORK COMPLETE In FOR THE the elements TRANSISTOR package For microwave influence of the transistors package parts of the leads bining Fig. 5 with equivalent network (gold we as shown wires) Figs. of the 1 and have may 4, we transistor to in Fig. consider 5. The be neglected. find the as shown following of the alone sections entire raises only the transistor optimization is described no special of the because the difficulties. the C. Determination ohmic Com- complete in Fiz. Many of the 6. OJ the Elements optimization error is based —on function. the methods The corresponding of the Transistor are based solution on the gradient of the method of present Fletcher paper and
  • 3. 122 IEEE TRANSACTIONS Powell [4]. Because culated frequently, it use of computer as possible, their tance by has to between For four two culate the [5] We input we calculate quency the value. frequency the sum has sum values to of the errors be current with of the the squared minimum errors is 2n if n is the number –IR. @R ‘j@IL ‘+L juVc#Z V1~v = Zm. IICV +lCV — GICV. = Z.,. %lDV zii AC @rDT- and Un- Origina[ range. at each of the #R= R.CPB *L =juL . $L Q. =ju C. +~ cal- III-A). frequency number VR=R. IR VL =jcoL. IL Ic =jw C V, is we input (see Section over This First Component of AP Note; V and 1 are the voltage and current in the original network; ~ and @ are the voltage and current in the adjoint network, of the to be calculated. output integrate The only Sensitivity (component of ~) Branch Relation in Adjoint Resistance Inductance Capacitance Current-controlled voltage source (see Fig. 11) transadmit- 1972 I Branch Relation the However, are calculations. respectively not the on FEBRUARY plement Type Function value and do based elements TECHNIQUES, economical [5]. since AND TABLE be as simple is THEORY be calcu- limits. network excitation, to for Rohrer pill parameters with output like and The frequency scattering possible important calculation of the Error every has its determination be extended, defined Formation gradient Director Yzle’ is complex. varied D. that gradient paper theory said is very time Our excellent the ON MICROWAVE Network fre- 1 1 individual of the variable elements. 5o11 Sum E of the squared errors ‘Y[wl’(.iw) U1’(jh))c = -+ ~ ? Q k=l ] (~2’(joJk))c (~2’(j@k))m – [2 + W,’(jhc) + ~1’’(j%) I (~1’’(j~k)). – (~,’’(j%))m w,’’(jm) ] (l,’’(jcok))c – (l,’’(jok))m l’] Fig. 8. (Li)lOWer number ~2n; k’ individual m measured c of j~h) , ~,’( ~1” ( jtih), jo~) and This of the a further second error sum function network limit, sum current with would output rapidly comes near if its excitation. limit. the this elements process, attain as the But we the to E. physical limit. it is very essential that chosen variation upper exact limits program their the the this definition elements are only at values choose If useful limits corresponding may the subroutine of EL is not definition cannot yond zation (8) function. that be infinite. W used, EL is added function input ET is sum argue minimization L; be- limit of EL is in the varied the of .E~ optimi- between the Li. or lower E. Calculation ET respectively. Error with excitation. increases elements current excitation; input ju,) could because output with limit; W is the weight where functions; and network EY=E+EL. value; weight input error value; output Now, total value; We jak) 1’”( upper The input j+,), lower ith and adjoint values J%+), ~~”( 11’ ( jcw) , 1“( frequency frequency calculated ~1’( ith (LJ.PPe, kl Original (6) where 1,”( Network I IZ + I Adjoint Y’;k 1’ – U,’(jw))m of the Error of the Gradient Sum Function EL (Li)lower + 1) Gradient (-w..er —— . z {x, – (L,),ower (L,)..,., (7) tion } -xi is based network where This Xi normalized ‘n number + WI’’(joJJ network of variable ~(~l’’*(jq))C element network (see III-E); With elements; – (~1’’”(jtih))~} lowing with method [5] and of the Error on the its mutually makes the Sum pairing use definition Function of adjoint of E: The originally network a theorem calculaspecified (see Fig. of Tellegen of E one can derive 13). [7]. the fol- equations: ~(~,’’(j~k))c wl’’(jow))c + 13p the Wz’’(jbk) [ (~2’’*(j@k))c – (~2’’*(j@k))m] ap 1} (9)
  • 4. et al.: HARTMANN ---B ----Eir_3 EQUIVALENT NETWORK oF MIC3Z01VAVFi TRANSISTOR c, ----- RL T I’ I q Original Fig. 12, network Relation Adjoint between original and current-contl-oiled voltage L4 network adjoint sour,:e. network for a ----- ---- Fig. 9. r———— I_’_’_- ‘—l ic..??.2u!2??_o (?2 C* 123 Transformed network corresponding to Fig. 10. CT —--- RL C* R2 C3 I I’ LA ----- -.-— Fig. 10. Part I’ of the original network of a broken line. Fig. 6 as delimited by C7 L 1 AdJolnt Additmr@{ netwc,rk Fig. 13. Complete addltiona( adjoint [network network and adjoint additional network, ------------Fig. 11. Transformed network corresponding to Fig. 9. where Pth P network Because element; for = ap Re ~ (lo) [s’+s”]; first-order sensitivity with input s“ Re first-order sensitivity with output real [5] the Now [5], directions we must Output voltages lated. to input and of Fig. change the currents the measured values, 8; value, the UO1= 1 V, U02 = O necessary branch Fig. original network output currents have to is not work and we line network of the input analyses, excitation, (see Fig. of the network insert are calcumust the have very 8 are sign essential of the rela- of the been may Adjoint In~at sources of Fig. 8. part deterorig- by an interrupted use of an additional Y210’. The to the ad joint original 9, its current a further The of the source net- network, source having transformation 11. source voltage voltage to Fig. UW., as a current-controlled Ul, U2 as current-controlled consider voltage of the is equal With Fig. is completely network: of the is marked because part transplaced. We following network 6 which 10 is equivalent w-e obtain procedure transadmittance other ~’ is one. of the adjoint simple sensitivity I. This previous ad joint the The to Table in Fig. for +0.01.&. excitation: to the inal network 12’= c) Determination derived: two output frequency Because I are perform excitation every and of Table have Input At analogous excitation; i.e., according mination relations with a) excitation; part. we namely, error current of 111-A; b) s’ the tions calculated k=l V.): the theory k=n dE In this and sources, 1’ depends I) (by (by l’) on 1: Network Brarwh : According *elk’ = ((~1’’(jw))m – (Id’’),) k “ w’,’(jc.-%), = frequency . point. . are (11) . . treated In the to [5] the as shown adjoint current-controlled in Fig. network voltage sources 12. we must insert the voltage
  • 5. IEEE TRANSACTIONS 124 Q ON MICROWAVE THEORY AND TSCHNIQUJ=, FEBRUARY 1972 d, Read: parameter 3) Initia( values b) Excitation-Response situation at thespeclfied Apply analysis Cait Uo, lvolt = store - program and the branch voltages Form error excitation and currents necessary for gradierrt calculation u~~=ovo(t frequency points {k )m ,(l;k )m,(l;k)m,(l;k)m k= r the input excitation L ~~1, ‘t’~2 1,.. ....n !I Calculate and store part ial gradient Form theerror E; relative to input excitation components excitation the Call analysis program to calculate the branch — for input (grad’) voltages Appty error excitation to ad joint and currents V& ,$$2 network !I Cal[ anatysis program and store the branch vo(tage$ App[y the output excitation u~, = o Vo(t U02 = 1 volt and currents for gradient Apply error excitation %$,.’i’~2 Form error necessary excitation ‘i& ,4’~2 to ad joint network calculation 1 , r Ca(culate Calcu(ate the total gradient Form the error E; relative to output excitation partial (grad’ + grad”) and store the Cal 1 ana(ysis partial gradient components for output excitation (grad”) — - program to calcu(ate the branch voltages and currents t Yes END Adjust network parameters according to F(etcher - PoweN method Fig. source (+) into source of the obtain the Except I. In ad joint for gradient the controlling controlled network case must “n diagrams The be zero. voltage Thus we elements, calculated gradient Go to r for computer the according component partial to Table numerical trast would Re . [S’+ Re [ variable have verified been 2) Gradient be determined 3) Normalization For the Elements: OR1)’ – (14) (~Rl”@RI)”]O gram it (in the our sidered. sensitivity case Thus of the I&), the the controlling controlled relationship branch current of (14) has has elements to be con- we to unity need The the total { – (~RiI[@R2 (1R2[@R2 + + method leads relationships @R2’])’ @m’1)”}. (15) of this EL: Function by a simple analytical of the Gradient proper that (initial normalized normalized axi Re by the con- number to an chapter numerically. dET — gradient (n being the network value gradient X~O) at 8E —“t’”: dxi This gradient calculation. and optimization of the Network subroutine elements the probe nor- start. Hence components. gradient of the dE —+— = ax{ ilEL to be changed as follows: . the this The the Error is essential malized For Thus saving. Of of 2n calculations elements). time becomes S”] –(lR1o determination require important can dlz —. 8R1 optimization. The of 13. branch are of RI the Flow of Fig. the controlling components the 14. branch. branch 1 6’X; error function is
  • 6. HARTMANN et Q1.: EQUIVALENT NETwORK OF MICROWAVE TRANSISTOR 125 1 — 78 -90” Fig. 16. Scattering parameter s,, (transistor AT- IO IA: Ic, 3 mA). A measured; u calculated. -1 Fig. 15. AT-101A: Scattering parameters su and siz (transistor Avantek UcE, 10V; lc, 3 mA). A measured; U calculated. Ld where S,2 p’ initial value of the P actual value of the This computer wave transistor Without in the have The flow in Fig. 14. the Control Data Type of Technology bias to much by more computer used for which of the are Collector—Base Current 0165 0.023 .4 0.005 0.158 0,006 5 Im(SIZ) laborious 17. used 0 1s6 -00!5 6 -0026 0166 -0037 7 -0035 0162 -0050 8 — Scattering in summarized these programs is one of the computers Swiss Federal Institute computed AT-101 BY values A) is This final model C,=o. oll C,=o. ool C,= O.013 C,= O.005 C,= O.152 C,= O.316 C,=4.011 in the frequency AT-101A: range from As a comparison, and those shown the calculated in measured with Figs. the scattering final parameters, computed model, 15–17. ACKNOWLEDGMENT of a microwave at the following The authors Laboratory, wish Swiss to Federal of the above thank Institute U. Gysel, Microwave of Technology, for work. REFERENCES 10 V 3 mA C,= O.085 is valid su (transistor 3 mA). 4 to 8 GHz. his discussions L,=o. zl L2=0.20 parameter 10V; Ic, APPLICATION given: Voltage -0013 METHOD Capacitances (pF) . 0032 UCE, been OBTAINED Inductances (nH) L,= O.09 L,=O.31 L,3=0.36 L,=O.42 (S12) OIL6 are Avantek L,=O.16 R? 0 IL5 computer Fig. programs have PRESENTED the (Type conditions Im(s12) 0146 8 the PROGRAMS RESULTS THE an example, Reverse Collector 4 of Zurich. OF As 6500, Center ACTUAL transistor from calculation network procedure computer Computer SOME of the above The of the T7. range been COMPUTER diagrams out [GHZ] 0136 a micro. [9]). lV. carrying to gradient equivalent would and applied frequency described f R@ (5,2) element. been CALCULATED 0.162 of optimization [8] the the determination has ~,2 — element; network program GHz. (see network MEAsuRED [1] Resistors (Q) [2] R,= 14.8 R,=279.8 R,= 7.7 R,= 0.3 [3] [4] [5] [6] J. Te Winkel, “Drift transistor simplified electrical characterization, ” Electron. Radio Eng., vol. 36, 1959, pp. 28@-288. W. Baechtold, “The small-signal and noise properties of bipolar transistors in the frequency range 0.6 to 4 GHz/s” (in German), thesis 4207, Swiss Fed. Inst. Tech., Zurich, Switzerland. R. L. Pritchard, Electrical Characteristics qf Transistors. New York: McGraw-Hill, 1967. R. Fletcher and M. J. D. Powell, “A rapidly convergent descent method for minimization,” Cow@.d. ~., vol. 6, no. 2, 1963, pp. . . 163-168. S. IV, Director and R, A. Rohrer, “Automated network design— The frequency-domain case, ” IEEE Trans. Givcwit Theory, vol. CT-16, Aug. 1969, pp. 330--337. Hewlett-Packard, “S-parameters-Circuit al]alysis and de-
  • 7. IEEE TRANSACTIONS 126 ON MICROWAVE sign, ” Application Note 95, Sept. 1968. [7] C. A. Desoer and E. S. Kuh, Basic Ciwait Theory, vol. 2. New York: McGraw-Hill, 1967. [8] W. Thommen and M. J. 0. Strutt, “Noise figure of UHF Transisters, ” IEEE T?am. Electron Devices, vol. ED-12, Sept. 1965, pp. 499–500. [9] W. Thommen, “Contribution to the signal- and noise equivalent circuit of UHF bipolar transistors” (in German), thesis 3658, Cavity Perturbation of the ISMAIL MEMBER, IEEE, AND Swiss Fed. Inst. Tech., 1965, Zurich, Switzerland. W. Beachtcld and M. J. O. Strutt, “Noise in microwave tranTrans. -kfic~owave Theo~y Tech., vol. MTT-16, sisters, ” IEEE Sept. 1968, pp. 578-585. K. Hartmann, W. Kotyczka, and M. J. 0. Strutt, “~quivalent networks for three different microwave bipolar transwtor packages in the 2-10 GHz range, ” E1.ctYon. Lett., no. 18, Sept. 1971, pp. 51@511. [10] [11] for C(IM PLEX GEORGE semiconductor T two ductor slab been or fills to reported by recently achieved with the this that is the for used Nag is very section lems. First, enough problem between the in attenuators sample should the due and re- ple at other phase has has precise, since the 20 dB) hand, and when the ac- commercial shifters. the The fact transverse [10]. quency shift in the interaction sample surement of placed Manuscript received January 28, 1971; revised May 28, 1971. This work was supported by the National Aeronautics and Space Administration under Grant NGL 23-005-183. I. I. Eldumiati is with Sensors, Inc., Ann Arbor, Mich. G. I. Haddad is with the Electron Physics Laboratory, Department of Electrical Engineering, university of Michigan, Ann Arbor, Mich. 48104. under a high that Q-factor, the er than that of the the energy the and energy perturbing the the If the sample in the material can the meaas sample cavity is chosen is much it can parameters be related the properties sample cavity, samstrong and the of a reentrant the defre- the The for size of the sample within by cavity material stored in in in the post con- resonant field, suitable the to techniques inserting perturbations. stored change by very central sam- difficult microwave the electric fields changes external guide are measured and cavity method of small a result the change the this of the of the perturbation of maximum between Imakes mode be is sam- InSb. of a resonant region may parameters Q-factor to the surface like cavity material the idea problem TEIO measuring for mode of a circular scheme material with erroneous a is normal mode a gap ” Helm’s contact to the This air even to give the a TEIO using a small suggested the converting into this is effect. field is tangential by The termining ple by method is that large sample walls, “gap electric a brittle second ductivity [7]- fact boundary. with The been accuracy mode, fill and field the realize the guide electric very to available completely surface, rectangular the The (nearly a transmission when method [4]. of the prob- get the shown [6] this to section; is always Helm serious cross when was IEEE hard waveguide effect overcome advantage ple’s serious Recently, to two is very waveguide and this MEMBER, poses it there sample [5]. complex the is not high using more and important the Second, fitting, results cases to fill crystal. SENIOR waveguide many becomes single tight Material of the in samples and materials, On a a semiconsection This method small, further one [1 ]– [3 ] and and reflection is very is degraded standards authors Datta to be measured method determine of measured first a waveguide high-conductivity phase-angle curacy been the coefficients. many by the with VSWR made transmission reviewed especially In are conductivity has methods. completely measurements flection material different Dielectric I. HAD DAD , cross takes microwave Measurement and transducer INTIIODUCTION MTT-20, NO. 2, FEBRUARY 1972 VOL. Semiconductor Abstract—Cavity perturbation techniques offer a very sensitive and highly versatile means for studying the complex microwave conductivity of a bulk material. A knowledge of the cavity coupling factor in the absence of perturbation, together with the change in the reflected power and the cavity resonance frequency shift, are adequate for the determination of the material properties. Thk eliminates the need to determine the @factor change with perturbation which may lead to appreciable error, especially in the presence of mismatch loss. The measurement accuracy can also be improved by a proper choice of the cavity coupling factor prior to the perturbation. HE TECHNIQUES, Conductivity of a Bulk 1, ELDUMIATI, I. AND Techniques Microwave Constant THEORY is with such small- be shown as a result to the cavity