Coherent signal-subspace processing in a sector

A. Bassias; M. Kaveh

doi:10.1109/acssc.1989.1201001

Coherent signal-subspace processing in a sector

A. Bassias, M. Kaveh

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The array processing of signals from multiple groups of sources is discussed. The need for a preprocessor using a set of orthogonal beamformers is demonstrated, and a weighting gain as an indicator of the improvement in the signal-to-noise ratio due to the preprocessing is introduced. An algorithm that incorporates double preprocessing procedures, including various combinations of prefiltering and the coherent signal subspace method's focusing procedure in angular sectors, is introduced. A bank of discrete prolate spheroidal sequences are used as orthogonal beamformers.

Original language	English (US)
Title of host publication	Twenty Third Annu Asilomar Conf Signal Syst Comput
Publisher	Publ by Maple Press, Inc
Pages	763-767
Number of pages	5
ISBN (Print)	0929029301
DOIs	https://doi.org/10.1109/acssc.1989.1201001
State	Published - 1989
Event	Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA Duration: Oct 30 1989 → Nov 1 1989

Publication series

Name	Conference Record - Asilomar Conference on Circuits, Systems & Computers
Volume	2
ISSN (Print)	0736-5861

Conference

Conference	Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers
City	Pacific Grove, CA, USA
Period	10/30/89 → 11/1/89

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10.1109/acssc.1989.1201001

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Bassias, A & Kaveh, M 1989, Coherent signal-subspace processing in a sector. in Twenty Third Annu Asilomar Conf Signal Syst Comput. Conference Record - Asilomar Conference on Circuits, Systems & Computers, vol. 2, Publ by Maple Press, Inc, pp. 763-767, Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, USA, 10/30/89. https://doi.org/10.1109/acssc.1989.1201001

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AB - The array processing of signals from multiple groups of sources is discussed. The need for a preprocessor using a set of orthogonal beamformers is demonstrated, and a weighting gain as an indicator of the improvement in the signal-to-noise ratio due to the preprocessing is introduced. An algorithm that incorporates double preprocessing procedures, including various combinations of prefiltering and the coherent signal subspace method's focusing procedure in angular sectors, is introduced. A bank of discrete prolate spheroidal sequences are used as orthogonal beamformers.

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Coherent signal-subspace processing in a sector

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