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Proceedings Paper

Signal Eigenvector Method For General Array Signal Processing
Author(s): James A. Cadzow; Young-Soo Kim; Dong-Chang Shiue
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Paper Abstract

A high resolution algorithm is presented for resolving multiple incoherent and coherent plane waves incident on an array of sensors. The incident sources may be a mixture of narrowband and broadband sources, and, the array's geometry is unrestricted. This algorithm makes use of a fundamental property associated with the signal eigenvectors of the array's spectral density matrix. Specifically, it is shown that these signal eigenvectors may be represented as linear combinations of steering vectors which identify the directions of the incident plane waves. As such, linear algebraic methods may be efficiently used to estimate the plane wave directions-of-arrivals. Simulation results are presented to illustrate the high resolution performance achieved with this new approach relative to that obtained with smoothed MUSIC and the Wang-Kaveh algorithms.

Paper Details

Date Published: 21 January 1988
PDF: 17 pages
Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); doi: 10.1117/12.942015
Show Author Affiliations
James A. Cadzow, Arizona State University (United States)
Young-Soo Kim, Arizona State University (United States)
Dong-Chang Shiue, Arizona State University (United States)

Published in SPIE Proceedings Vol. 0826:
Advanced Algorithms and Architectures for Signal Processing II
Franklin T. Luk, Editor(s)

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