Passive localization of near-field sources by path following

Author

Starer, David ; Nehorai, Arye

Author_Institution

Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA

Volume

42

Issue

3

fYear

1994

fDate

3/1/1994 12:00:00 AM

Firstpage

677

Lastpage

680

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 2D 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 2D search over range and bearing to 2(m-1) independent 1D searches. This imparts a high degree of parallelism that can be exploited to obtain source location estimates very efficiently

Keywords

array signal processing; parallel algorithms; parameter estimation; polynomials; search problems; MUSIC cost function; bearings; coupled 2D polynomial equations; estimation problem; geometrical constraints; global 2D search; homotopy method; multiple narrow-band sources; near-field sources; nonlinear problem; parallelism; path following; ranges; source location estimates; uniform linear sensor array; Cost function; Multiple signal classification; Narrowband; Nonlinear equations; Parallel processing; Polynomials; Position measurement; Radar countermeasures; Sensor arrays; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.277864

Filename

277864