115 Scopus citations

Abstract

A new algorithm for passively estimating the ranges and bearings of multiple narrow-band sources using a uniform linear sensor array is presented. The algorithm is computationally efficient and converges globally. It minimizes the MUSIC cost function subject to geometrical constraints imposed by the curvature of the received wavefronts. The estimation problem is reduced to one of solving a set of two coupled 2-D polynomial equations. The proposed algorithm solves this nonlinear problem using a modification of the path-following (or homotopy) method. For an array having m sensors, the algorithm reduces the global 2-D search over range and bearing to 2(m — 1) independent 1-D searches. This imparts a high degree of parallelism that can be exploited to obtain source location estimates very efficiently.

Original languageEnglish
Pages (from-to)677-680
Number of pages4
JournalIEEE Transactions on Signal Processing
Volume42
Issue number3
DOIs
StatePublished - Mar 1994

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