Degradation of Covariance Reconstruction-Based Adaptive Beamformers
(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:
https://lup.lub.lu.se/record/4645624
- author
- Somasundaram, Samuel and Jakobsson, Andreas LU
- organization
- publishing date
- 2014
- type
- Contribution to conference
- publication status
- published
- subject
- pages
- 5 pages
- conference name
- Sensor Signal Processing for Defense - SSPD Conference 2014
- conference location
- Edinburgh, United Kingdom
- conference dates
- 2014-09-08 - 2014-09-09
- language
- English
- LU publication?
- yes
- id
- 062e0ffa-85de-4d9f-a1b8-a80892ff0d5a (old id 4645624)
- date added to LUP
- 2016-04-04 13:54:03
- date last changed
- 2019-03-08 02:33:45
@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}}, title = {{Degradation of Covariance Reconstruction-Based Adaptive Beamformers}}, url = {{https://lup.lub.lu.se/search/files/6232092/4645625.pdf}}, year = {{2014}}, }