Title :
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
fDate :
3/1/1994 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on