The numerical simulation of the performance of a robustised broadband frequency LMS adaptive beamformer
The numerical simulation of the performance of a robustised broadband frequency LMS adaptive beamformer
The paper is concerned with the optimal processing of data from an array of sensors/antennas. Such sensors may be sonar, radar, VHF/HF radio or 'acoustics in air'. The processing aims might be any of the following: (a) detection and identification of weak wanted signals. (b) Bearing estimation of weak wanted signals. (c) Presentation of the time series of wanted signals at maximum S/N ratio for further processing/display. (d) Accurate bearing estimation and discrimination of strong signal sources. All array beamformer techniques suffer difficulties when applied in the field. Highly optimised algorithms are quickly degraded by multipathing, array deformation and by sensor errors. Time varying noise fields and finite integration time exact a further toll. Eigenvector methods such as MUSIC are rather expensive when applied to broadband environments. The authors consider a broad band robustised LMS frequency domain adaptive algorithm as described in Nunn (1989). Its performance is analysed in numerical simulations incorporating multipathing, array distortion, sensor errors and finite integration time.
241-246
Nunn, D.
5115be8c-b699-427b-b7df-8795398381e5
1994
Nunn, D.
5115be8c-b699-427b-b7df-8795398381e5
Nunn, D.
(1994)
The numerical simulation of the performance of a robustised broadband frequency LMS adaptive beamformer.
In Proceedings of OCEANS'94.
IEEE.
.
(doi:10.1109/OCEANS.1994.363921).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The paper is concerned with the optimal processing of data from an array of sensors/antennas. Such sensors may be sonar, radar, VHF/HF radio or 'acoustics in air'. The processing aims might be any of the following: (a) detection and identification of weak wanted signals. (b) Bearing estimation of weak wanted signals. (c) Presentation of the time series of wanted signals at maximum S/N ratio for further processing/display. (d) Accurate bearing estimation and discrimination of strong signal sources. All array beamformer techniques suffer difficulties when applied in the field. Highly optimised algorithms are quickly degraded by multipathing, array deformation and by sensor errors. Time varying noise fields and finite integration time exact a further toll. Eigenvector methods such as MUSIC are rather expensive when applied to broadband environments. The authors consider a broad band robustised LMS frequency domain adaptive algorithm as described in Nunn (1989). Its performance is analysed in numerical simulations incorporating multipathing, array distortion, sensor errors and finite integration time.
This record has no associated files available for download.
More information
Published date: 1994
Venue - Dates:
Oceans 94: Oceans Engineering for Today's Technology and Tomorrow's Preservation, , Brest, France, 1994-09-13 - 1994-09-16
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 251604
URI: http://eprints.soton.ac.uk/id/eprint/251604
PURE UUID: 05a4ce48-d952-4db8-b39e-dcb118a35dbb
Catalogue record
Date deposited: 05 Nov 1999
Last modified: 15 Mar 2024 23:25
Export record
Altmetrics
Contributors
Author:
D. Nunn
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics