Detection and localization of multiple sources via the stochastic signals model

Author

Wax, Mati

Author_Institution

RAFAEL, Haifa, Israel

Volume

39

Issue

11

fYear

1991

fDate

11/1/1991 12:00:00 AM

Firstpage

2450

Lastpage

2456

Abstract

A method for the detection of coherent and noncoherent signals based on the application of J. Rissanen´s (1978) minimum-description-length principle for model selection to the stochastic signals model is presented. The detection and localization are done simultaneously with the location estimator coinciding with the maximum-likelihood estimator derived by J.F. Bohme (1986). The proposed method outperforms the method of M. Wax and I. Ziskind (1989), especially in the threshold region. Simulation results demonstrating the improved performance are included

Keywords

parameter estimation; signal detection; signal processing; array processing; coherent signals; localization; location estimator; maximum-likelihood estimator; minimum-description-length principle; multiple sources; noncoherent signals; sensor array; signal detection; stochastic signals model; Covariance matrix; Eigenvalues and eigenfunctions; Helium; Maximum likelihood detection; Maximum likelihood estimation; Narrowband; Sensor arrays; Sensor phenomena and characterization; Stochastic processes; Wideband;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.98000

Filename

98000