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A Generalised Sidelobe Canceller Architecture Based on Oversampled Subband Decompositions

A Generalised Sidelobe Canceller Architecture Based on Oversampled Subband Decompositions
A Generalised Sidelobe Canceller Architecture Based on Oversampled Subband Decompositions
Adaptive broadband beamforming can be performed in oversampled subband signals, whereby an independent beamformer is operated in each frequency band. This has been shown to result in a considerably reduced computational complexity. In this paper, we primarily investigate the convergence behaviour of the generalised sidelobe canceller (GSC) based on normalised least mean squares algorithm (NLMS) when operated in subbands. The minimum mean squared error can be limited, amongst other factors, by the aliasing present in the subbands. With regard to convergence speed, there is strong indication that the subband-GSC converges faster than a fullband counterpart of similar modelling capabilities. Simulations are presented.
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Liu, W
622f6d44-225b-4d4e-9ed9-839e234e7163
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Proudler, I K
6811ac51-8868-40ee-88f2-aa7107e6d3f1
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Liu, W
622f6d44-225b-4d4e-9ed9-839e234e7163
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Proudler, I K
6811ac51-8868-40ee-88f2-aa7107e6d3f1

Weiss, S, Liu, W, Stewart, R W and Proudler, I K (2000) A Generalised Sidelobe Canceller Architecture Based on Oversampled Subband Decompositions. 5th International Conference on Mathematics in Signal Processing.

Record type: Conference or Workshop Item (Other)

Abstract

Adaptive broadband beamforming can be performed in oversampled subband signals, whereby an independent beamformer is operated in each frequency band. This has been shown to result in a considerably reduced computational complexity. In this paper, we primarily investigate the convergence behaviour of the generalised sidelobe canceller (GSC) based on normalised least mean squares algorithm (NLMS) when operated in subbands. The minimum mean squared error can be limited, amongst other factors, by the aliasing present in the subbands. With regard to convergence speed, there is strong indication that the subband-GSC converges faster than a fullband counterpart of similar modelling capabilities. Simulations are presented.

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More information

Published date: December 2000
Additional Information: Organisation: IMA, IEE Address: Warwick, UK
Venue - Dates: 5th International Conference on Mathematics in Signal Processing, 2000-12-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 253996
URI: http://eprints.soton.ac.uk/id/eprint/253996
PURE UUID: 13f140c3-7a79-4bdf-8a4c-695481331f46

Catalogue record

Date deposited: 20 Nov 2000
Last modified: 14 Mar 2024 05:30

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Contributors

Author: S Weiss
Author: W Liu
Author: R W Stewart
Author: I K Proudler

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