Matrix pencil with prefiltering for direction finding

Y. Hua; F. Hu; T. K. Sarkar

doi:10.1109/acssc.1989.1201002

Matrix pencil with prefiltering for direction finding

Y. Hua, F. Hu, T. K. Sarkar

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

2 Scopus citations

Abstract

In all matrix-pencil-based algorithms (the direct matrix pencil algorithm,ESPRIT, Pro-ESPRIT, and the state-space algorithm) the SVD (singular-value decomposition, or eigendecomposition) filtering approach has been used in several ways to reduce the noise effect and to transform a large matrix pencil into a smaller matrix pencil from which the wave directions are extracted. The SVD filtering approach to matrix pencil is presented in a unified way. Another prefiltering approach, which multiplies the large matrix pencil by a weight matrix before the SVD filtering approach is applied, is also presented. The weight matrix is based on the initial estimates, or the a priori knowledge, of the wave directions.

Original language	English (US)
Title of host publication	Twenty Third Annu Asilomar Conf Signal Syst Comput
Publisher	Publ by Maple Press, Inc
Pages	768-771
Number of pages	4
ISBN (Print)	0929029301
DOIs	https://doi.org/10.1109/acssc.1989.1201002
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

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/acssc.1989.1201002

Cite this

Hua, Y, Hu, F & Sarkar, TK 1989, Matrix pencil with prefiltering for direction finding. 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. 768-771, Twenty-Third Annual Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, USA, 10/30/89. https://doi.org/10.1109/acssc.1989.1201002

@inproceedings{4cf2cf14af564ea5bed76616cce1719a,

title = "Matrix pencil with prefiltering for direction finding",

abstract = "In all matrix-pencil-based algorithms (the direct matrix pencil algorithm,ESPRIT, Pro-ESPRIT, and the state-space algorithm) the SVD (singular-value decomposition, or eigendecomposition) filtering approach has been used in several ways to reduce the noise effect and to transform a large matrix pencil into a smaller matrix pencil from which the wave directions are extracted. The SVD filtering approach to matrix pencil is presented in a unified way. Another prefiltering approach, which multiplies the large matrix pencil by a weight matrix before the SVD filtering approach is applied, is also presented. The weight matrix is based on the initial estimates, or the a priori knowledge, of the wave directions.",

author = "Y. Hua and F. Hu and Sarkar, {T. K.}",

year = "1989",

doi = "10.1109/acssc.1989.1201002",

language = "English (US)",

isbn = "0929029301",

series = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",

publisher = "Publ by Maple Press, Inc",

pages = "768--771",

booktitle = "Twenty Third Annu Asilomar Conf Signal Syst Comput",

note = "Twenty-Third Annual Asilomar Conference on Signals, Systems &amp; Computers ; Conference date: 30-10-1989 Through 01-11-1989",

}

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T1 - Matrix pencil with prefiltering for direction finding

AU - Hua, Y.

AU - Hu, F.

AU - Sarkar, T. K.

PY - 1989

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N2 - In all matrix-pencil-based algorithms (the direct matrix pencil algorithm,ESPRIT, Pro-ESPRIT, and the state-space algorithm) the SVD (singular-value decomposition, or eigendecomposition) filtering approach has been used in several ways to reduce the noise effect and to transform a large matrix pencil into a smaller matrix pencil from which the wave directions are extracted. The SVD filtering approach to matrix pencil is presented in a unified way. Another prefiltering approach, which multiplies the large matrix pencil by a weight matrix before the SVD filtering approach is applied, is also presented. The weight matrix is based on the initial estimates, or the a priori knowledge, of the wave directions.

AB - In all matrix-pencil-based algorithms (the direct matrix pencil algorithm,ESPRIT, Pro-ESPRIT, and the state-space algorithm) the SVD (singular-value decomposition, or eigendecomposition) filtering approach has been used in several ways to reduce the noise effect and to transform a large matrix pencil into a smaller matrix pencil from which the wave directions are extracted. The SVD filtering approach to matrix pencil is presented in a unified way. Another prefiltering approach, which multiplies the large matrix pencil by a weight matrix before the SVD filtering approach is applied, is also presented. The weight matrix is based on the initial estimates, or the a priori knowledge, of the wave directions.

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DO - 10.1109/acssc.1989.1201002

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T3 - Conference Record - Asilomar Conference on Circuits, Systems & Computers

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EP - 771

BT - Twenty Third Annu Asilomar Conf Signal Syst Comput

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Y2 - 30 October 1989 through 1 November 1989

ER -

Matrix pencil with prefiltering for direction finding

Abstract

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Conference

ASJC Scopus subject areas

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