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Degradation of Covariance Reconstruction-Based Adaptive Beamformers

Somasundaram, Samuel and Jakobsson, Andreas LU (2014) Sensor Signal Processing for Defense - SSPD Conference 2014
Abstract
We show that recent robust adaptive beamformers,

based on reconstructing either the noise-plus-interference or

the data covariance matrices, are sensitive to the noise-plus-

interference structure and degrade in the typical case when

interferer steering vector mismatch exists, often performing much

worse than common diagonally loaded sample covariance matrix

based approaches, even when signal-of-interest steering vector

mismatch is absent.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
5 pages
conference name
Sensor Signal Processing for Defense - SSPD Conference 2014
language
English
LU publication?
yes
id
062e0ffa-85de-4d9f-a1b8-a80892ff0d5a (old id 4645624)
date added to LUP
2014-10-24 11:14:11
date last changed
2016-04-16 11:49:35
@misc{062e0ffa-85de-4d9f-a1b8-a80892ff0d5a,
  abstract     = {We show that recent robust adaptive beamformers,<br/><br>
based on reconstructing either the noise-plus-interference or<br/><br>
the data covariance matrices, are sensitive to the noise-plus-<br/><br>
interference structure and degrade in the typical case when<br/><br>
interferer steering vector mismatch exists, often performing much<br/><br>
worse than common diagonally loaded sample covariance matrix<br/><br>
based approaches, even when signal-of-interest steering vector<br/><br>
mismatch is absent.},
  author       = {Somasundaram, Samuel and Jakobsson, Andreas},
  language     = {eng},
  pages        = {5},
  title        = {Degradation of Covariance Reconstruction-Based Adaptive Beamformers},
  year         = {2014},
}