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Robust and Automatic Data-Adaptive Beamforming for Multi-Dimensional Arrays

Somasundaram, Samuel; Jakobsson, Andreas LU and Parsons, Nigel (2012) In IEEE Transactions on Geoscience and Remote Sensing 50(11). p.4642-4656
Abstract
The robust Capon beamformer has been shown to alleviate the problem of signal cancellation resulting from steering vector errors, caused, e.g., by calibration and/or angle- of-arrival errors, which would otherwise seriously deteriorate the performance of an adaptive beamformer. Here, we examine robust Capon beamforming of multi-dimensional arrays, where robustness to angle-of-arrival errors is needed in both azimuth and elevation. It is shown that the commonly used spherical uncertainty sets are unable to control robustness in each of these directions independently. Here, we instead propose the use of flat ellipsoidal sets to control the angle-of-arrival un- certainty. To also allow for other errors, such as calibration errors, we combine... (More)
The robust Capon beamformer has been shown to alleviate the problem of signal cancellation resulting from steering vector errors, caused, e.g., by calibration and/or angle- of-arrival errors, which would otherwise seriously deteriorate the performance of an adaptive beamformer. Here, we examine robust Capon beamforming of multi-dimensional arrays, where robustness to angle-of-arrival errors is needed in both azimuth and elevation. It is shown that the commonly used spherical uncertainty sets are unable to control robustness in each of these directions independently. Here, we instead propose the use of flat ellipsoidal sets to control the angle-of-arrival un- certainty. To also allow for other errors, such as calibration errors, we combine these flat ellipsoids with a higher-dimension error ellipsoid. Computationally efficient automatic techniques for estimating the necessary uncertainty sets are derived, and the proposed methods are evaluated using both simulated data and experimental underwater acoustics measurements, clearly showing the benefits of the technique. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Robust beamforming, signal cancellation, ellipsoidal uncertainty sets, underwater acoustics
in
IEEE Transactions on Geoscience and Remote Sensing
volume
50
issue
11
pages
4642 - 4656
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000310888600008
  • scopus:84869503610
ISSN
0196-2892
DOI
10.1109/TGRS.2012.2192500
language
English
LU publication?
yes
id
c52058b1-43fe-4f2f-9174-d34fa483b2f9 (old id 2439379)
date added to LUP
2012-08-31 14:25:39
date last changed
2017-08-20 03:01:36
@article{c52058b1-43fe-4f2f-9174-d34fa483b2f9,
  abstract     = {The robust Capon beamformer has been shown to alleviate the problem of signal cancellation resulting from steering vector errors, caused, e.g., by calibration and/or angle- of-arrival errors, which would otherwise seriously deteriorate the performance of an adaptive beamformer. Here, we examine robust Capon beamforming of multi-dimensional arrays, where robustness to angle-of-arrival errors is needed in both azimuth and elevation. It is shown that the commonly used spherical uncertainty sets are unable to control robustness in each of these directions independently. Here, we instead propose the use of flat ellipsoidal sets to control the angle-of-arrival un- certainty. To also allow for other errors, such as calibration errors, we combine these flat ellipsoids with a higher-dimension error ellipsoid. Computationally efficient automatic techniques for estimating the necessary uncertainty sets are derived, and the proposed methods are evaluated using both simulated data and experimental underwater acoustics measurements, clearly showing the benefits of the technique.},
  author       = {Somasundaram, Samuel and Jakobsson, Andreas and Parsons, Nigel},
  issn         = {0196-2892},
  keyword      = {Robust beamforming,signal cancellation,ellipsoidal uncertainty sets,underwater acoustics},
  language     = {eng},
  number       = {11},
  pages        = {4642--4656},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Geoscience and Remote Sensing},
  title        = {Robust and Automatic Data-Adaptive Beamforming for Multi-Dimensional Arrays},
  url          = {http://dx.doi.org/10.1109/TGRS.2012.2192500},
  volume       = {50},
  year         = {2012},
}