Estimation Of Transmission Parameters In an Underwater ...Estimation Of Transmission Parameters In...
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Estimation Of Transmission Parameters In an
Underwater Acoustic Communication
TS Vishnu Priya, G.Vinitha Sanchez, N.R.Raajan
School of Electrical & Electronics Engineering,
SASTRA Deemed University, Thanjavur, India
[email protected], [email protected], [email protected]
AbstractβA microphone that are used for communication
in underwater for receiving and also for listening to the
sound is a hydrophone. Here the frequencies associated
with the underwater acoustic communications are about
10Hz-1MHz. In Underwater wireless communication the
information is transmitted through the channel named
as UAC channel. In this paper OFDM is considered to
have more advantages in dealing with the UWA channels
due to the multipath and frequency selective channels.
Also the transmitter and the receiver is designed with an
adaptive OFDM modulation technique to increase the
rate of data that is being transmitted by the transmitter.
This paper mainly observe the different waveforms
obtained by changing the transmitter and receiver at the
different heights to choose the appropriate one for
effective communication in underwater Acoustic
communication channel.
Key Words - Hydrophones, Orthogonal frequency
division multiplexing, Surface Reflections, Bottom
Reflections
I. INTRODUCTION
The technology of underwater communication grows
expeditiously because the underwater acoustic channel is
used in many applications like Seismic monitoring,
Pollution monitoring, To avoids data spoofing, Ocean
current monitoring etc. There are many such methods to
perform underwater Communication but the most effective
one is by using hydrophone. In this work the parameters of
the communication channel are varied and the
corresponding waveforms are observed by keeping the
transmitter and the receiver at the different heights in order
to choose the best waveform. Underwater Acoustic
communication uses sound waves instead of radio waves.
There are certain limitations in the wired communications
like breaking of wires, temporary environment, needs more
cost for constructing cables for transmitting data. To cope
up the pre-mentioned problems we go with the wireless
communication.
II. METHODOLOGY
Limitations in the current underwater acoustic
communication:
There are certain limitations by using the physical carrier for
underwater communication
1.Radio Waves
Radio waves can propagate under water extremely
at low frequency i.e.(30 Hz-300Hz) [1]. Radio waves can
travel only to a very short distance at about 10m [2] and also
if the depth increases the radio waves cannot penetrate into
the water.
2.Optical Waves
Optical waves are not affected by attenuation by it is
very much affected by dispersion. Also, the optical signal
transmission need more accuracy in pointing the narrow
beam of light. So the sound waves is the best waves for
underwater communication.
III. FACTORS INFLUENCING UNDERWATER COMMUNICATION
A. Path loss
This type of loss may occur due to refraction, scattering,
dispersion, absorption and attenuation. In path loss the depth
of the water plays a vital role in calculating the attenuation.
The absorption loss at the surface of the sea is constant the
absorption loss at the bottom can be given as below
equation.
πβ =
π1
ππππ π β (
π
π1)2βπ ππ 2π
π1
ππππ π + (
π
π1)2βπ ππ 2π
(1)
Here in the above equation, π is the incident angle
π1
π denotes the density of water in surface and in the
bottom
π
π1 denotes the velocity of sound in water and sound
in bottom
B. Noise
In underwater communication two types of noise may
occur
Man made Noise: This noise may occur due to shipping activity
and machinery movements
Ambient Noise: Generally, four types of ambient noise may
occur they are noise due to movement of ship(ππ ), wind (ππ€), thermal noise (ππ‘),turbulence (ππ‘).
10 πππππ π = 25 log π β 60 log π + 0.03 + 40 β 20 π β 0.5 (2)
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10 πππππ€ π = 20 log π β 7.5π€12 + 50
β 40 log +0.3 (3)
10 πππππ‘ π = β14 + 20 log π (4)
10 πππππ‘ π = 17 β 30 log π (5)
The overall noise can be represented as below,
π π = ππ π + ππ€ π + ππ‘ π + ππ‘ π (6)
C. Multipath propagation
Multi-dimension propagation will cause the distortion
in signal which in turn will degrade the system[5]. In
shallow water the multipath propagation may occur due to
signals reflecting from the surface and reflecting from the
bottom, in depth water the multi-dimension propagation
may occur due to the bending of ray.
Surface reflection
Direct Link
Reflection from bottom
Fig.1. Multi-Dimension Propagation
D. High propagation Delay
The speed of propagation in underwater acoustic
communication channel is four times lower when
compared to the speed of propagation in the radio
channels[7]. It may degrade the overall performance
of the data transmission.
E. Attenuation
Underwater Acoustic Communication (UAC) can be affected by three type of losses they are loss
due to absorption, Reflection, spreading. The
spreading loss can either be spherical spreading or
cylindrical spreading .For Spherical spreading (A)=2;
For Cylindrical spreading (A)=1;For practical
spreading (A)=1.5
Hence, the attenuation π π, π can be represented as
below,
10 log π π, π = π΄. 10 log π
+ 10 log β (π) . π (7)
β π β πππππππππππ‘ ππ’π π‘π πππ ππππ‘πππ
π β πππππ’ππππ¦
The absorption coefficient can be given as the below
equation,
10 log β π =11
100.
π2
1 + π2+ 44
π2
4100 + π2
+ 2.75π2 + 0.003 (8)
the above equation is applicable only for π >
400πΎπ»π§ and for π < 400πΎπ»π§ the equation will
become,
10 log β π = 0.11π2
1 + π2+ 0.011π2
+0.002 (9)
By considering the attenuation the total path loss can
be given as ,
πΏπ =ππ
π΄(π, π) (10)
IV. TRANSMITTER DESIGN
In the transmitter side the OFDM with spatial multiplexing
is considered and the signaling used here is Zero padded
OFDM. The spacing between the sub carriers can be
computed as by using the below equation,
π =π
π (11)
π β Bandwidth
π βTotal number of sub carriers
π βguard time duration
The block duration is ,
π =1
π=
π
π (12)
In order to eliminate the inter-symbol interferences guard
time are inserted .The sub carriers that carry data can be
expressed as,
ππ = πππππ (13)
ππ βnull sub carriers which means it does not carry any
information
ππ βPilot tones which means carry known symbols
Feed back
Fig.2. Block Diagram of Adaptive OFDM
Transmit
er
Receive
rr
Receiver
Doppler
and
channel
estimator
Channel
Prediction
Adaptive
allocation
Detection
UWA
Chan
nel
Transmitt
er
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The spectral efficiency can be computed as,
π = ππ‘π.ππ
π + ππ.π
ππ πππ2π (14)
The data rate can be calculated by the below equation,
π· = ππ (15)
π· βdata rate(bits/sec)
π βbandwidth
π βspectral efficiency
To estimate the channel every transmitter is allocated with a
set of non overlapping pilot sub carriers.
V. RECEIVER DESIGN
The receiver part of the system consist of an Doppler and
channel estimator, a channel predictor subsystem, an
adaptive power allocation and a detection subsystem. The
Doppler effects of the signal are estimated and corrected
using methods like the time wrapping techniques etc. A
channel predictor is used to predict the signal transmitted in
order to obtain the signal without any attenuation the power
is allocated more efficiently using the adaptive power
allocation and the detection subsystem in the receiver gets
the original transmitted signal.
Table 1 Comparison of various waves for communication
Radio Optical Acoustic
Velocity of
sound in
underwater
33,333,333
m/s
33,333,333
m/s
1.5
Γ 103 π
/π ππ
Bandwidth In MHz 20-100
MHz
Few kHz
Power loss 28 db/km Vary 0.1 db/m
Frequency MHz 1014-1015 Few kHz
Operation in
range
10 meters 10-100
meters
Few Km
RESULTS AND DISCUSSIONS
Fig.3.Multi-DimensionPropagation
Fig.4. Observed Waveform
Table 2 Channel Parameters
Surface height 200 m
Channel distance 2000 m
Transmitter height 100 m
Receiver height 100 m
The figure -3 Shows that the transmitter hydrophone is
placed at 100 m and the receiver hydrophone is placed at the
height of 100m and the range of the channel is taken as 2000
m and the height of the surface is kept as 200 m. The figure-
4 Shows the waveforms obtained by placing the transmitter
hydrophone at 100 m and the receiver hydrophone at 100 m
in terms of doppler rate relative to horizontal.
Fig.5.Multi-Dimension Propagation
Table 4 Channel Parameters
Surface height 100 m
Channel distance 3000 m
Transmitter height 85 m
Receiver height 65 m
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Fig.6. Observed Waveform
The Figure -5 Shows that the transmitter hydrophone is
placed at 85 m and the receiver hydrophone is placed at the
height of 65m and the range of the channel is taken as
3000m and the height of the surface is kept as 100 m. The
Figure-6 Shows the waveforms obtained by placing the
transmitter hydrophone at 85m and the receiver hydrophone
at 65 m above the surface of the water in terms of doppler
rate relative to horizontal.
Fig.7. Multi-Dimension Propagation
Fig.8. Observed Waveform
Table 4 Channel Parameters
The Figure -7 Shows that the transmitter hydrophone is
placed at 70 m and the receiver hydrophone is placed at the
height of 70m and the range of the channel is taken as 2000
m and the height of the surface is kept as 100 m. The
Figure-8 Shows the waveforms obtained by placing the
transmitter hydrophone at 70 m and the receiver hydrophone
at 70 m in terms of doppler rate relative to horizontal.
VI. CONCLUSION
The objective of this paper is to observe the waveforms
obtained by setting the transmitter and receiver at different
heights and analyzing the different waveforms and
computing the most efficient waveforms . Here the
simulation results shows that the waveforms observed
relative to the Doppler effects are better when keeping the
transmitters and receivers at lower heights from the surface
of the water for a efficient underwater acoustic
communication the transmitter and the receiver is also been
designed by using the adaptive OFDM modulation
technique that will increase the data rate transmission.
REFERENCES
[1] Catipovic J., "Performance limitations in underwater acoustic
telemetry", IEEE J. Oceanic Eng., Vol. 15, (1990), 205β216.
[2] F. Akyildiz, D. Pompili, and T. Melodia, "Challenges for Efficient
Communication in Underwater Acoustic Sensor Networks," ACM
Sigbed Review, July 2004.
[3] W. H. Thorp, βAnalytic description of the low frequency attenuation
coefficient,β Journal of the Acoustical Society of America, vol. 33,
pp. 334β340, 1961.
[4] M. U. Cella, R. Johnstone, and N. Shuley, "Electromagnetic wave
wireless communication in shallow water coastal environment,"
Theoretical analysis and experimental results. Berkeley, California,
USA, 2009.
[5] N. Farr, A. Bowen, J. Ware, C. Pontbriand, and M. Tivey, "An
integrated, underwater optical/acoustic communications system," In
Proc. of IEEE OCEANS, pages 16, 2010.
[6] Eggen T. H., Baggeroer A. B., Preisig J. C., "Communication Over
Doppler Spread Channels", Part I: Channel and Receiver Presentation,
IEEE J. Ocean. Eng., 2000, Vol. 25,No 1..
[7] J. Zhang and Y. R. Zheng, βFrequency-domain turbo equalization
with soft successive interference cancellation for single carrier mimo
underwater acoustic communications,β IEEE Transactions on
Wireless Communications, vol. 10, no. 9, pp.2872β2882, 2011.
[8] M. Zatman and B. Tracey, βUnderwater acoustic mimo channel
capacity,β in Proceedings of 36th Asilomar conf., vol. 2, 2002, pp.
1364β1368.
[9] Syed and J. Heidemann, "Time synchronization for high latency
acoustic net-works," In Proc. of IEEE INFOCOM, Barcelona, Spain,
2006.
[10] J. Bai, Q. Liang and H. Yu, "Research on the channel simulation of
underwater acoustic networks," Journal of Chinese Computer
Systems, vol.29, no.1, pp.185-188, 2008.
Surface height 100 m
Channel distance 2000 m
Transmitter height 70 m
Receiver height 70 m
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