detection of trapped victims beneath building rubble using
TRANSCRIPT
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Trends in Microwave Engineering and Technology
Volume 2 Issue 1
Detection of Trapped Victims beneath Building Rubble using
Microwave Life Detection Systems in X Band
S.Alagammal1, R.Bhavani
2
Department of Electrical and Electronics
Mepco Schlenk Engineering College, Sivakasi,
Tamilnadu, India
Corresponding Authors: [email protected], [email protected]
Abstract
Nowadays, the awareness about the need of an hour is to find an effective method for rescuing
people buried under earthquake rubble or collapsed building. It is essential one because the
prediction of the occurrence of next earthquake in any parts of the world cannot be known. The
main objective of this task is to identify and discriminate the human under debris among other
things. In this work, a microwave beam of certain frequency (L or S band or UHF band) is
applied to penetrate and reach at a portion of rubble or collapsed building under which a
person has been trapped. Whenever the microwave beam has reached, the reflected waves
comes back which will get modulated or changed based on the person’s movements including
heart beat and breathing and also from the other objects under the collapsed structure. In this
work, by making proper analysis according to the signals received, the identification and the
status of the person can be easily distinguished; thereby the live persons can be safely rescued
from debris anywhere and at any time. By advent of this system the world death rate may
decrease to greater extent as large percentage of death occur due to earthquake.
Keywords: Microwave life detection system, X band, Breathing & Heartbeat signals, earthquake
rubble, FFT Analysis
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1. INTRODUCTION
In general, most of the techniques has been
employed for the detection of living people
buried beneath collapsed building debris
make use of seismic or acoustic equipment,
optical devices or search dogs. Initially dogs
were used to detect presence of human then
acoustic detectors and robot radar come into
existence. However, the dog found only
dead persons which takes more valuable
time of the rescue team. Also, the optical
devices have a limited number of degree of
freedom, require expert operators and
cannot be used in inaccessible area.
Acoustical detectors such as geophones are
simple to use but they require quiet working
environments, a condition difficult to reach
especially in critical situations. But these
systems are having major drawbacks On the
other hand, these methods fail to deliver
reliable detection, especially when the
trapped person fell to unconscious and is
unable to respond.
In addition, the wastage of time will exist
which will be used for the search of further
victims. Besides information about the
location of the buried person would be of
great value for the rescue personnel, since it
will reduce the functional time and thus help
to save more lives.
To organize rapid rescue operations,
emergency forces required timely
information on the exact position of people
trapped or buried under rubble all over the
world, information about collapse of debris
and standardized intervention procedures as
well as information on the state of the
victims health.
Fall down of man-made structures such as
buildings, houses and bridges; this is
occurring with varying frequency across the
world. In such situation, people survive are
usually trapped in the cavities created by
collapsed building material. The concept of
microwave life detection system was
emerged with the development in the
systems for rescue operation.
Initial dogs were used to detect presence of
human then acoustic detectors and robot
radar come into existence. But these
systems are having major drawbacks. In
radar system a SAW oscillator is used to
generate 10GHz frequency signals. While
receiving through patch antenna the signal
is process by the ICA (Independent
Component Algorithm) [1].The history of
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“Revolutionary System to detect Human
Being Buried under the Rubble” starts with
K. M. Chen who brings out the concept of
detection of buried victims using microwave
beam in 1988 [7]. In radar system a SAW
oscillator is used to generate 10GHz
frequency signals. While receiving through
patch antenna the signal is process by the
ICA (Independent Component Algorithm)
[2].
A microwave life detection system operated
on radio frequency was proposed in 1985
[3]. An Ultra-Wideband Radar Concept for
the detection of buried victims beneath
building rubble was proposed in 2010[2]
The phase change of a reflected microwave
signal will provide the precious information
about the buried victim‟s heartbeat as well
as breathing [4].
It states that short wavelength of band
increases the sensitivity of antenna which
will detect the small body vibration [2]. A
rescue radar system is proposed by M.
Donelli in 2011. The researcher put their
efforts to study the various effects of
various bands of microwave signals and
depending upon this, finally system which
detect human being with ka-band with
double sidebands in 2006.
It states that short wavelength of band
increases the sensitivity of antenna which
will detect the small body vibration [4]. The
phase change of a reflected microwave
signal will provide the precious information
about the buried victim’s heartbeat as well
as breathing [3].
2. OVERVIEW OF THE PROJECT
Microwaves are introduced as an
electromagnetic waves with wavelengths
ranging from as long as one meter to as
short as one millimeter, or equivalently,
with frequencies between 300 MHz (0.3
GHz) and 300 GHz. This broad definition
includes both UHF and EHF (millimeter
waves), and various sources use different
boundaries.
In all cases, microwave includes the entire
SHF band (3 to 30 GHz, or 10 to 1 cm) at
minimum, with RF engineering frequently
putting the lower boundary at 1 GHz (30
cm), and the upper approximately 100 GHz
(3mm).
The microwave life detection system can
works on different range of frequencies
from L-band (2GHz) to X- band (10GHz).
For this reason, the microwave life detection
system which operates on the X-band
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frequency has been implemented. In this
work, a microwave life detection system has
been developed to remotely detect the
signals of human objects lying on the
ground at a distance or located behind a
barrier wall.
The basic principle behind the system is to
illuminate the human parts with a low
intensity microwave beam so that the small
amplitude body vibrations due to breathing
and heartbeat of the human subject will
modulate the back scattered microwave
signal. The receiving system extracts this
back scattered signal reflected from the
human parts.
2.1 Functional Description
Fig-1: Basic Block Diagram
RECORDEER UNIT SIGNAL
PROCESSING
ANTENNA SIGNAL
GENERATOR
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The components that were used in this
project model are Klystron Power Supply,
Klystron Tube, and Digital Storage
Oscilloscope.
Now when the microwave beam is generated
from the Klystron tube, and it is propagated
to antenna through the waveguides. The
supply for the Klystron tube is given by the
Klystron Power Supply. The frequency of
generated microwave beam is measured by
using frequency meter. In between, the
isolator is provided to separate the
generation part from the transmitting part.
The circulator is used to offer an antenna
interface for both transmit and receive
system. The horn antenna is used for
transmitting and receiving the microwave
beam. The reflected waves from the various
objects (like humans, rubbles, metal) are
directed towards the crystal diode detector.
From the detector, the output signal is
retrieved and it is given to the Digital
Storage Oscilloscope. Here the signal is
processed by the technique called Fast
Fourier Transform. Then the processed
signal is recorded in the DSO.
Moreover the variation in the amplitude
level of the reflected signal is measured
here. The amplitude level will be different
for different objects and this variation
depends on the input settings. By checking
these values, it can able to judge the
presence of human behinds under the
rubbles. By observing the shape variation in
the FFT waveform, the presence of human
beings under the rubbles can be easily
detected.
For this purpose, a data sheet has been
prepared which contains the details about
the amplitude variation for various objects at
various objects bat various distances for
different input settings.
3. AWR-SOFTWARE ANALYSIS
The same objective has also been
implemented in AWR environment software
which has the advantages of compact, fast
reliable and provides more enhanced output.
It comprises three powerful tools such as
Visual system simulator, Microwave office
and Analog office software. VSS software
enables us to design and analyze end to end
communication systems. The design of the
systems composed of modulated signals,
encoding schemes, channel blocks and
systems level performance measurements.
However, simulations can be performed
using VSS’s predefined transmitters and
receivers or by using structured customized
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transmitters and receivers from basic
blocks.VSS provides a real-time tuner that
allows us to tune the designs and then see
our changes immediately in the data display.
Microwave Office and Analogue Office
software enables us to design circuits
composed of schematics and
electromagnetic (EM) structures from an
extensive electrical model database, and
then generate layout representations of these
designs.
3.1. Design Algorithm
This topic describes the windows, menus
and basic operations for performing the
following tasks in the AWR Design
Environment (AWRDE) suite.
Creating projects to organize and save
your designs
Creating system diagrams, circuit
schematics, and EM structures
Placing circuit elements into
schematics
Placing system blocks into system
diagrams
Incorporating sub circuits into system
diagrams and schematics
Creating layouts
Creating and displaying outputs
graphs
Running simulations for schematics
and system diagrams
Tuning simulations
3.2. Design with Amplitude Modulation
In this project, microwave beam in X-band
range has been used for the detection of
human beings trapped under rubble. There is
no provision to measure such high
frequencies hence DSO acts as a recording
unit. Since, there is a need of modulation for
extracting the output. Therefore amplitude
modulation are used by taking square pulse
as modulating signal and microwave beam
as modulating signal. Then this modulating
signal is transmitted through the transmit
antenna.
While transmitting this signal to receiving
antenna, a noise signal is also added as a
human signs. In order to eliminate this
unwanted signal, reference signal are
generating as modulating signal, this
reference signal is 1800 phase shifted by the
phase shifter for extracting the human signs.
Then this received signal and the phase
shifted reference signal are given to the
adder, and these unwanted signals are
eliminated here.
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After that, the required signal from the adder
will be received as an output. When
travelling along the path, some of the loss
will exist thereby the amplitude level will
gets reduced that has been taken out in
graphic format. The relevant block diagram
and its corresponding waveforms are shown
in fig. (2-3).
Fig-2: Block diagram for amplitude modulation
Fig-3: Output Waveform with modulation
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Brown Color waveform – Actual Noise
Input
Red Color Waveform - Extracted Output
3.3. Design without Modulation
In AWR Design Environment Software,
there is no provision to directly measure the
microwave frequencies. So there is no need
to modulate the microwave beam. It can be
directly transmitted and received the
microwave beam using this software. In
general, the generated microwave is
transmitted through the transmit antenna. In
between the transmitting and receiving
antenna is a noise signal is added as a
human signs. These signals are received by
the receiving antenna.
For eliminating the unwanted signal we are
generating the reference signal as same as
transmitted signal. This reference signal is
1800 phase shifted by the phase shifter for
extracting the human signal. The received
signal and the phase shifted reference signal
are given to the adder, and the unwanted
signals are eliminated here. The output from
the adder will give the required signal. Due
to the path loss there will be a reduction in
the amplitude level and the output is taken
out in graphic format as shown in Fig (.4-5).
Fig-4: Block diagram for amplitude without modulation
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Fig - 5: Output Waveform without modulation
Brown Color waveform – Actual Noise
Input
Blue Color Waveform - Extracted Output
4. HARDWARE IMPLEMENTATION
A new sensitive microwave life-detection
system which can be used to locate human
subjects buried under earthquake rubble or
hidden behind various barriers has been
constructed. This system operating at 9.5
GHz can detect the breathing and heartbeat
signals of human subjects through
earthquake rubble or a construction barrier
of about different distance.
The microwave life detection system has all
the components as shown in fig 6.
They are a microwave circuit which
generates, amplifies and distributes
microwave signals to different microwave
components. A dual antenna system, which
consists of two antennas, energized
sequentially. A microwave controlled clutter
cancellation system, which creates an
optimal signal to cancel the clutter from the
rubble. The experimental set up was shown
in fig.7.
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Fig-6: Proposed Block Diagram
Fig-7: Microwave Test Bench
4.1. Klystron Power Supply
The Klystron power supply is used to give
the input to the klystron tube. In addition to
AM and FM modulation of beam current, a
provision for externally modulating the
klystron supply with desired signal
waveform has been provided.
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Table 1 Specifications
Input Voltage 230V AC, 10%, 50Hz
Beam Supply Voltage -250 to -350 V DC
Beam Supply Variable Current 0-50 mA
Repeller Supply 6.3 V DC
Filament Supply 6.3 V DC
Over load Trip Current 65 mA
Modulation Internal, square wave 800- 2000 Hz with
variable frequency and amplitude
Display Digital display for Beam Voltage, Beam
Current and Repeller Voltage.
4.2. Klystron Tube
Reflex Klystron tube is used for the
generation of microwave beam. The
microwave tube uses transmit time in the
conversion of dc power to radio-frequency
(RF) power. The interchange of power is
accomplished by using the principle of
electron velocity modulation and low-loss
resonant cavities in the microwave tube.
Three power sources are required for reflex
Klystron operation: (1) filament power, (2)
positive resonator voltage (often referred to
as beam voltage) used to accelerate the
electrons through the grid gap of the
resonant cavity, and (3) negative repelled
voltage used to turn the electrostatic fields
set up by the resonator potentials (U2) in the
body of the tube. The resonator potential is
common to the resonator cavity, the
accelerating grid, and the entire body of the
tube.
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4.3. Waveguides
The generated microwave bam is propagated
to antenna through waveguides. A
waveguide is a structure which guides
waves, such as electromagnetic waves or
sound waves. The microwave feed from the
antenna is often from through the waveguide
rather than the coaxial cable (or) wires. The
attenuation level is higher in wire and little
lesser in coaxial tube. But in the case of
waveguide, there is no attenuation of
signals. There are different types of
waveguide for each type of wave. The
original and most common meaning ia a
hollow conductive metal pipe is used to
carry high frequency radio waves,
particularly microwaves.
Waves are confined inside waveguide due to
total reflection from the waveguide wall , so
that the propagation inside the waveguide
can be described approximately as a
“zigzag” between the walls This description
s exact for the electromagnetic waves in a
rectangular or circular hollow metal tube.
Hence rectangular waveguides (WR-90),
which is made up of brass/copper material
has been used in this work.
4.4. Horn Antenna
Microwave antenna plays a vital role in
transmitting and receiving microwave
signals which operates above the frequency
of 2GHz in order to meet many technical
and physical requirements. In this work,
Horn antenna is used and its efficiency is
almost 1.
Among many type of horn antenna,
pyramidal type antenna is used, because it
provides the flaring in both electric and
magnetic vector which satisfies all needs.
Horn antenna doesn’t have any resonant
elements; hence they can be operated over
broad band of frequencies.
4.5. Isolator
An isolator is a two-port device that
transmits microwave or radio frequency
power in one direction only. The selection
port is arbitrary, and isolators can be made
to “isolate” either clockwise or counter
clockwise. Isolator is used to improve the
frequency stability of the microwave
generator by using clockwise isolator.
4.6. Circulator
A Circulator is a ferrite device with three
ports also called as a non-reciprocal device.
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A circulator is sometimes called a
“duplexer”, meaning that it is duplexes two
signals into one channel (e.g. transmit and
receive into an antenna). In this work,
clockwise circulator acts as a great antenna
interface for a transmit/receive system.
Energy can be made to flow from the
transmitter (port1) to the antenna (port2)
during transmit, and from the antenna
(port2) to the receiver (port3) during
receive.
4.7. Direct Reading Type Frequency Meter
(DRT)
The calibration in micrometer type
frequency meter is normally provided at 200
MHz intervals, which cannot measure the
small probability in the frequency In this
work, DRT frequency meter has been used
to measure the output signals accurately
which also give direct frequency on the dial
provided.Crystal diode detector unit is a
special adjustable form can be used to
separate the low frequency waves from their
high frequency carrier wave.
5. PERFORMANCE ANALYSIS
A several experiments were performed with
the life detection system with two
parameters also with various objects.
Variation in the amplitude level of square
pulse has been used as an input of rubble or
barrier and the distance between the victim
and the barrier of rubble D was variable
parameter for the experiment.
In this work microwave beams are used for
the detection of trapped victims beneath
building rubbles. According to the
properties, microwave can penetrate through
non metallic objects. But it is completely
reflected by the metal, so that metal has
been selected as a reference object in this
work. Also the changes in reflected waves
for direct metal, direct human and metal
behind rubble and human behind rubble has
been analyzed. In this a wall of 30 x 20 cm2
has been considered as rubble in order to do
analysis.
The microwave frequency of 9.5GHz will be
send as a carrier microwave beam signal
from the klystron power supply, the square
pulse as a message signal along with a
carrier microwave beam are send to the
rubble. The amplitude level of the reflected
waves from the rubble or any other object
has some variations which are used to
distinguish various objects. Thereby the
presence of human beings can be easily
identified and detected which helps to save
their lives.
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Table 2 Data Sheet for various Inputs at two distance level
Object/ Distance
Input = 80 mV
Input =72 mV
Input =148 mV
10cm 20cm 10cm 20cm 10cm 20cm
Direct metal 26.0 mV 19.6 mV 24.0 mV 23.6 mV 58.0 mV 46.0 mV
Direct human 18.0 mV 15.4 mV 14.4 mV 13.2 mV 20.0 mV 18.0 mV
Metal behind rubble 19.6 mV 17.6 mV 16.8 mV 15.2 mV 22.0 mV 19.0 mV
Human behind rubble 16.8 mV 14.56 mV 12.2 mV 10.4 mV 17.4 mV 16.8 mV
For various input settings that the variation
in the amplitude level of square pulse has
been prepared as a data sheet at different
distance level have been shown in table 2
and their respective waveforms are given
below. When the distance increases from 10
cm to 20 cm, the magnitude of the output
signal has been reduced for various objects
are illustrated in table2.
From the table, it is found that, the
variations in amplitude clearly illustrates
that the presence of various objects under
the debris. In addition, for the same distance
like 10 cm, performance of the X band life-
detecting system has been analyzed with the
reflected output waveform is shown in
Fig.8-11.
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Fig-8: Reflected wave by metal at a distance of 10 cm
Fig-9: Reflected wave by metal through rubble at a distance of 10 cm
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Fig-10: Reflected wave by Human at a distance 10 cm
Fig-11: Reflected wave by Human through rubble at a distance 10 cm
The microwave beam is applied as an input
to the object directly and indirectly in terms
of voltage at different level. The reflected
received signal is considered as an output
voltage according to the presence of object.
It can be observed that, the output voltage
gets decreased as the distance increases for
the human when compared with other
objects. It can be observed that the
variations in the shape of the output
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waveform clearly depict the presence of
human beings trapped under rubbles.
6. FFT ANALYSIS
FFT is a very important mathematical tool
for analyzing and processing the 2D signal,
which also allows time domain signals
processing operations to be performed in the
frequency domain. The plot of amplitude at
different frequency components for a
periodic wave is known as discrete
frequency spectrum. Because amplitude
values have significance only at discrete
values of fo = 2π/T is the spectrum between
two adjacent harmonic components.
In FIR filters, both the hanning and flat top
windows are being designed to optimize the
FFT analysis of continuous signals. In this
flat top windows have been employed to
provide the best estimation of amplitude
variations in the output waveform. The
following figure demonstrates the FFT
waveforms under various conditions.
In the graphs, the heartbeat signal (when the
human subject holding his breath), the
breathing signal, and the background noise
were included. Firstly, the heartbeat and
breathing signals were detected for each
position.
Fig-12: FFT Waveform for complete Reflection by Metal
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Fig-13: FFT Waveform for Reflected Wave by Direct Human
Fig -14: FFT Waveform for Reflected Wave by Human through rubble
Fig.12 to Fig.14 is the Fast Fourier
Transform (FFT) of the time-domain signal,
which shows the frequency components of
the time domain signal. Figures show the
same result performed on the same distance
D for the different objects as shown
respectively. The frequency domain FFT
results show the peaks of heartbeat signal
(0.8 Hz to 2.5Hz) and breathing signal (0.2
Hz to 0.5 Hz). Other small peaks are
probably due to noises or the second
harmonic of the breathing signal. When all
these result were compared it is found that
the amplitude of the breathing signal is
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becoming smaller with the increase of the
wall’s thickness.
The heartbeat signal peak also decreases
with the increase of the wall’s thickness. It
can be concluded from the result, thickness
affects breathing signal whereas distance D
affects heartbeats signals. The X band
system performs better enough for remotely
buried victims signals. Our experiments
prove that a buried victim can be efficiently
detected using lower band frequency. Since
wavelength of EM wave is very short,
approximately 3 cm for a carrier frequency
of 10 GHz, the phase of the echo can change
greatly if the target moves even slightly.
Based on this physical behavior the
components of pulse radar system can be
rearranged to work as a life detection
system. This system can operates at 9.5 GHz
and it will be used remotely to detect the
breathing and heartbeat signals of alive
subjects through rubble or some other
barriers about 3ft in thickness.
7. SOCIAL IMPACT
A potential application of this proposed
project is to locate living human subjects
buried in rubble after an earthquake or
avalanche by remotely detecting breath and
heartbeat movements through the barriers.
For detecting and testing health condition of
an individual, they are separated from the
radar by a non-metal wall or in poor
visibility. It could be useful in many critical
services such as medicine, rescue service,
law and antiterrorists enforcements.
8. INFERENCE
In this, the microwave hardware test bench
was developed after conducting a no of
experiments in real time before finalizing
the design work, which reduced the bottle
necks and we did not face much difficulty in
the final integration process. This project
functions in both hardware and software
platform satisfactorily as per the design.
In general, the entire development of the
project work was educative and we have
gained a lot of practical experience by way
of doing the project in all aspects. We could
understand the practical constraints of
developing such systems about which we
have studied by way of lectures in the theory
classes. It was satisfying to see so many
theoretical aspects work before as in real life
practice of which we have heard through
lecturers and of which we have studied in
the books.
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CONCLUSION
A new sensitive microwave life-detection
system for locating human subjects buried
under earthquake rubble or hidden behind
various barriers or rubble has been
constructed. This system operating at 9.5
GHz can remotely detect the breathing and
heartbeat signals of living human subjects
through earthquake rubble or a construction
barrier of about various distances. This has
been successfully tested and is found to be
working satisfactorily.
The operation of the system is much more
flexible and easier than others. The
penetration distance can be further increased
by using lower frequency systems (below 1-
GHz). In addition to this, the system has also
been employed in AWR design environment
microwave office software.
In this work, the human signal from the
reflected waves from the rubble has
reasonably extracted and its performance
analysis has been carried out using FFT.
Hence the system is portable. This project is
very helpful for rescue purpose for
government.
FUTURE SCOPE
As for microwave beams vast capability, the
project we have done it is a scratch level
attempt of reaping its benefits. There could
be a lot done using systems, a few which are
listed below illustratively, We can extend
the automatic life detection system by using,
microcontroller. By reducing the frequency
range, we can increase the penetration
capability of the system to detect the victims
beneath rubble. We can develop new
sensitive microwave life detection system,
which can be carried by special rescuing
robots.
REFERENCES
1) M. Donelli, “A rescue radar system
for the detection of victims trapped
under rubble based on the
independent component analysis
algorithm.” Progress In
Electromagnetics Research, M, Vol.
19, 173-181, 2011.
2) C.Labarthe, JP. Mutaig, B. Jecko, H.
Hameih, E. Martinod, N.Feix, J.M.
Lalande, JM. Denoual, JM . Floach,
V. Beetrand, R. Vergnault, “An
Ultra-Wideband Radar Concept for
the detection of buried victims
beneath building rubble”, paper
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Trends in Microwave Engineering and Technology
Volume 2 Issue 1
appears in Radar Conference
(EuRAD), 2010 European.
3) Wu, C. W. and Z. Y. Huang,”Using
the Phase Change of a Reflected
Microwave to Detect a Human
Subject Behind a Barrier” IEEE
Transaction Biomedical Engg, Vol.
55. No. 1, 267-2272, 2008.
4) A. Izadi, Z. Ghatan,” Design and
Simulations of a Life Detection
System based on the Heart Beat
Using Doppler Frequency”, IEEE
International Symposium on Signal
Processing and Information
Technology, 2006.
5) Yanming Xiao; Changzhi Li;
Jenshan Lin; “Accuracy of A Low-
Power Ka-Band Non-Contact
Heartbeat Detector Measured from
Four Sides of A Human Body” Dept.
of Electr. & Computer. Eng., Florida
Univ.,Gainesville, FL, Microwave
Symposium Digest, 2006. IEEE
MTT-S International, June 2006.
6) Huey-ru Chuang, Member, IEEE, Y-
F. Chen, and kun-Mu Chen, Fellow,
IEEE, “Automatic Clutter-Canceller
for Microwave Life-Detection
Systems” IEEE transactions on
instrumentations and measurements,
VOL, 40, NO.4. August 1991.
7) K.M.Chen, Huey-Ru Chuang,”
Measurement of heart and breath
signals of human subjects through
barriers with microwave life
detection system “, IEEE
Eng.Med.Bio.SOC, 10th Annual Int.
Conference, Nov 1988.
Web References
1) Defense Research & Development
Organization
www.drdo.com/pub/nl
2) Geophysical Survey Systems, Inc
www.gssilifelocator.com
Book References
1) Microwave Devices and Circuits by
Samuel Y. Liao. Antenna & Wave
Propagation by K.D.PRASAD.