FPGA Based Acoustic Source Localization Project

FPGA
Based
Acous.c
Source

Localiza.on

Prabin
Maharjan

Prabin
Man
Baidya

Presha
Joshi

Shristi
Nhuchhe
Pradhan

-‐
Final
Year
Project
Presenta.on

March 18, 2010
Supervisors: Prof. Dr. Dinesh Kumar Sharma
Asst. Prof Jitendra Kumar Manandhar
Internal Examiner: Dr. Nanda Bikram Adhikari
External Examiner: Er. Shiva Raj Baral
Tribhuvan University
Institute of Engineering, Pulchowk Campus, Nepal

!   Task
of
locating
the
position
of
sound
source

using
sound
=ield
measurements

!   Best
example:
auditory
system
of
human
ear

!   Integrating
acoustic
source
localization
with
a
video

camera
so
that
camera
automatically
follows
a

lecturer
or
active
speaker
in
conference
room

!   Security
surveillance-‐
camera
automatically

captures
video
whenever
burglar
makes
sound

!   Robotics,
Humanoids

Capture
sound
signal
from
source

using
microphones
with

ampli=ication

Detect
sound
signal
and
determine

the
position
of
the
sound
source

Control
the
movement
of
stepper

motor
to
the
direction
of
sound

source

Signals captured by microphones:
Time Difference of Arrival (TDOA):

D = GAIN* ((Vin-1.65)/1.25)*8192

INITIALIZATION
RUN ADC
RUN FFT
INSIDE FFT
RUN IFFT
INSIDE IFFT
CALCULATE
DOA
RUN STEPPER
MOTOR
En
ADC=1

Start
FFT=1

Start
IFFT=1

Start
motor=1

!   Localizes

the
sound
source
only
in
left
and

right
direction

!   Affected
by
background
noise

!   Stepper
motor
doesn‘t
react
quickly
to
the

sound
signals

!   High
resource
utilization
of
FPGA
board

!   Cascading
different
modules

!   Different
clock
for
ADC,
stepper
motor

controller

!   Using
more
than
2
microphones
for
exact

localization

!   Localization

of
acoustic
source
in
3-‐D

environment

!   Multiple
source
detection

!   Reducing

the
effect
of
background
noise
and

reverberation

!   FPGA
prototyping
by
VHDL
examples,
Pong
P.
Chu

!   Industrial
Circuits
ApplicaFon
Note

Stepper
Motor

Basics

!   Circuit
Design
Using
VHDL,
Pedroni

!   Spartan
3E
user
guide

!   “A
comparison
of

the
ILD
and
TDOA
sound
source

LocalizaFon
algorithms
in
a
train
environment”

!   “Reliability
measurement

of

Fme

diﬀerence

of

arrival
esFmaFons
for

mulFple
sound
source

localizaFon”

FPGA Based Acoustic Source Localization Project

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