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Computationally Efficient Robust Adaptive Beamforming for Passive Sonar

Somasundaram, Samuel; Pilkington, Adrian; Hart, Leslie; Butt, Naveed LU and Jakobsson, Andreas LU (2015) Underwater Defence Technology (UDT 2015)
Abstract
Recent work has highlighted the benefits of exploiting robust

Capon beamformer (RCB) techniques in passive sonar.

Unfortunately, the computational requirements for computing

the standard RCB weights are cubic in the number of

adaptive degrees of freedom, which may be computationally

prohibitive in practical situations. Here, we examine recent

computationally efficient techniques for computing the RCB

weights and evaluate their performances for passive sonar.

We also discuss the implementation of these efficient algorithms

on parallel architectures, such as graphics processing

units (GPUs), illustrating that further significant speed-ups

are... (More)
Recent work has highlighted the benefits of exploiting robust

Capon beamformer (RCB) techniques in passive sonar.

Unfortunately, the computational requirements for computing

the standard RCB weights are cubic in the number of

adaptive degrees of freedom, which may be computationally

prohibitive in practical situations. Here, we examine recent

computationally efficient techniques for computing the RCB

weights and evaluate their performances for passive sonar.

We also discuss the implementation of these efficient algorithms

on parallel architectures, such as graphics processing

units (GPUs), illustrating that further significant speed-ups

are possible over a central processing unit (CPU) based implementation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Passive sonar, computationally efficient robust adaptive beamforming.
conference name
Underwater Defence Technology (UDT 2015)
language
English
LU publication?
yes
id
e6e5583d-eda4-445b-b9ba-1246f3fca203 (old id 7767415)
date added to LUP
2016-01-13 13:44:11
date last changed
2016-04-16 12:47:03
@misc{e6e5583d-eda4-445b-b9ba-1246f3fca203,
  abstract     = {Recent work has highlighted the benefits of exploiting robust<br/><br>
Capon beamformer (RCB) techniques in passive sonar.<br/><br>
Unfortunately, the computational requirements for computing<br/><br>
the standard RCB weights are cubic in the number of<br/><br>
adaptive degrees of freedom, which may be computationally<br/><br>
prohibitive in practical situations. Here, we examine recent<br/><br>
computationally efficient techniques for computing the RCB<br/><br>
weights and evaluate their performances for passive sonar.<br/><br>
We also discuss the implementation of these efficient algorithms<br/><br>
on parallel architectures, such as graphics processing<br/><br>
units (GPUs), illustrating that further significant speed-ups<br/><br>
are possible over a central processing unit (CPU) based implementation.},
  author       = {Somasundaram, Samuel and Pilkington, Adrian and Hart, Leslie and Butt, Naveed and Jakobsson, Andreas},
  keyword      = {Passive sonar,computationally efficient robust adaptive beamforming.},
  language     = {eng},
  title        = {Computationally Efficient Robust Adaptive Beamforming for Passive Sonar},
  year         = {2015},
}