Multiple target direction of arrival tracking

Author

Srivastava, A. ; Miller, M.I. ; Grenander, U.

Author_Institution

Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA

Volume

43

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

1282

Lastpage

1285

Abstract

A new algorithm is presented for estimating the directions of arrival of signals from an unknown number of moving signal sources. The parameter space is a countable union of Cartesian products of the torus, each product space corresponding to a different number of signals reaching the sensor array. A Bayesian posterior probability measure is defined on this parameter space by combining the sensor array manifold models with the von-Mises prior on source motion. The estimates are generated empirically using a random sampling algorithm based on jump-diffusion processes and the results are presented from an implementation on a DAP510 massively parallel computer

Keywords

Bayes methods; direction-of-arrival estimation; image sampling; probability; random processes; stochastic processes; target tracking; tracking; Bayesian posterior probability measure; Cartesian products; array manifold models; direction of arrival tracking; implementation; jump-diffusion processes; moving signal sources; multiple targets; parameter space; product space; random sampling algorithm; sensor array; torus; von-Mises density; Array signal processing; Frequency conversion; Frequency estimation; Laboratories; Mean square error methods; Sensor arrays; Signal processing algorithms; Signal resolution; Spectral analysis; Target tracking;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.382418

Filename

382418