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Partially adaptive broadband beamforming with a subband selective transformation matrix

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 outpus 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-apss subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the ciomputational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.
43-47
IEEE
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. (2002) Partially adaptive broadband beamforming with a subband selective transformation matrix. In Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002. IEEE. pp. 43-47 . (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 outpus 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-apss subbands appropriately prior to running independent unconstrained adaptive filters in subbands. By these steps the ciomputational complexity of the system is greatly reduced. Additionally, a faster convergence speed is achieved by joint spatial and spectral decorrelation.

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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
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Dec 2003
Last modified: 20 Jul 2019 01:26

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Contributors

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

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