Application of the bootstrap to source detection in nonuniform noise

Author

Aouada, Saïd ; Traskov, Danail ; d´Heureuse, N. ; Zoubir, Abdelhak M.

Author_Institution

Signal Process. Group, Darmstadt Univ. of Technol., Germany

Volume

4

fYear

2005

fDate

18-23 March 2005

Abstract

We consider the problem of source number estimation in the presence of unknown spatially nonuniform noise. A sequential hypothesis test is formulated based on Gerschgorin´s theorem. As no assumption is made on the distribution of the noise or the signals, the bootstrap is used to estimate the distribution of the proposed test statistics. Performance of the new detector is assessed through simulations and its advantage is illustrated in different scenarios against a Gerschgorin-based information criterion.

Keywords

array signal processing; heuristic programming; parameter estimation; random noise; statistical distributions; Gerschgorin theorem; array signal processing; bootstrap; sequential hypothesis test formulation; source detection; source number estimation; spatially nonuniform noise; statistical distribution estimation; Covariance matrix; Detectors; Eigenvalues and eigenfunctions; Sensor arrays; Sequential analysis; Signal processing; Signal to noise ratio; Statistical analysis; Statistical distributions; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1416179

Filename

1416179