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Proceedings Paper

Adaptive subspace algorithm for direction finding and tracking
Author(s): Sylvie Marcos; Messaoud Benidir
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Paper Abstract

This paper presents an adaptive subspace-based method for the direction of arrival estimation and the tracking of multiple sources. This method relies on a linear operator, referred to as the Propagator, which only exploits the linear independency of the source steering vectors, and which allows the determination of the source and the noise subspaces without any eigendecomposition ofthe cross-spectral matrix of the received signals. Two gradient-based adaptive algorithms are here proposed for the estimation of the Propagator, and then of the source and the noise subspaces. A theoretical analysis of the behavior of these two algorithms in a nonstationary environment is given. Simulations exhibit the good performances of the proposed algorithms for tracking moving sources.

Paper Details

Date Published: 7 June 1995
PDF: 12 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211401
Show Author Affiliations
Sylvie Marcos, Ecole Superieure d'Electricite (France)
Messaoud Benidir, Ecole Superieure d'Electricite (France)

Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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