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Subband Adaptive Generalized Sidelobe Canceller for Broadband Beamforming

Subband Adaptive Generalized Sidelobe Canceller for Broadband Beamforming
Subband Adaptive Generalized Sidelobe Canceller for Broadband Beamforming
In this paper, we propose a novel subband adaptive broadband beamforming architecture based on the generalised sidelobe canceller (GSC), in which we decompose each of the tapped delay-line signals feeding the adaptive part of GSC and the reference signal into subbands and perform adaptive minimisation of the mean squared error in each subband. Besides its lower computational complexity, this new subband adaptive GSC outperforms its fullband counterpart in terms of both convergence speed and steady-state error. Simulations based on different kinds of blocking matrices with different orders of derivative constraints are presented to support these findings.
0-7803-7011-2
591-594
Liu, W.
af656440-51e8-45c8-b694-a802e71b671e
Weiss, S.
55a13123-6604-4dad-b647-7347683c8c49
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, W.
af656440-51e8-45c8-b694-a802e71b671e
Weiss, S.
55a13123-6604-4dad-b647-7347683c8c49
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Liu, W., Weiss, S. and Hanzo, L. (2001) Subband Adaptive Generalized Sidelobe Canceller for Broadband Beamforming. 11th IEEE Workshop on Statistical Signal Processing, Orchid Country Club, Singapore. pp. 591-594 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we propose a novel subband adaptive broadband beamforming architecture based on the generalised sidelobe canceller (GSC), in which we decompose each of the tapped delay-line signals feeding the adaptive part of GSC and the reference signal into subbands and perform adaptive minimisation of the mean squared error in each subband. Besides its lower computational complexity, this new subband adaptive GSC outperforms its fullband counterpart in terms of both convergence speed and steady-state error. Simulations based on different kinds of blocking matrices with different orders of derivative constraints are presented to support these findings.

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More information

Published date: August 2001
Additional Information: Event Dates: August 2001 Organisation: IEEE Signal Processing Society Address: Orchid Country Club, Singapore
Venue - Dates: 11th IEEE Workshop on Statistical Signal Processing, Orchid Country Club, Singapore, 2001-08-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 255739
URI: http://eprints.soton.ac.uk/id/eprint/255739
ISBN: 0-7803-7011-2
PURE UUID: 3e88b529-c3ec-4297-ac13-9cb2db7296a6
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 06 Jan 2004
Last modified: 18 Mar 2024 02:33

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Contributors

Author: W. Liu
Author: S. Weiss
Author: L. Hanzo ORCID iD

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