Partially adaptive broadband beamforming with a subband selective transformation matrix
Partially adaptive broadband beamforming with a subband selective transformation matrix
In this paper, a partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.
43-47
Liu, W.
af656440-51e8-45c8-b694-a802e71b671e
Weiss, S.
55a13123-6604-4dad-b647-7347683c8c49
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
August 2002
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.
(2002)
Partially adaptive broadband beamforming with a subband selective transformation matrix.
In Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002.
IEEE.
.
(doi:10.1109/SAM.2002.1190996).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper, a partially adaptive generalized sidelobe canceller (GSC) with a novel spatially/spectrally subband-selective transformation matrix is proposed. The row vectors of this matrix constitute a series of bandpass filters, which separate the blocking matrix outputs into components of different DOAs and frequencies. This results in bandlimited spectra of its outputs, which is further exploited by subband decomposition and discarding the low-pass subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the computational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.
More information
Published date: August 2002
Venue - Dates:
IEEE Sensor Array and Multichannel Signal Processing Workshop, , Rosslyn, United States, 2002-08-06 - 2002-08-06
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 257488
URI: http://eprints.soton.ac.uk/id/eprint/257488
PURE UUID: f3ff8fca-cc20-43a8-a7cf-cfe5ef107a69
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Date deposited: 12 Dec 2003
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
W. Liu
Author:
S. Weiss
Author:
L. Hanzo
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