Auto-term detection using time-frequency array processing

Author

Cirillo, Luke A. ; Amin, Moeness G.

Author_Institution

Commun & Signal Process. Group, Curtin Univ. of Technol., Perth, WA, Australia

Volume

6

fYear

2003

fDate

6-10 April 2003

Abstract

The problem of nonstationary signal detection using antenna arrays is considered. A method for detecting source signal auto-term regions in the time-frequency plane is presented, based on spatial time-frequency distribution (STFD) matrices. A general signal detection framework when using arbitrary time-frequency kernels is proposed and the trace of a whitened STFD matrix is used to form an appropriate test statistic. The expressions for the mean and variance of the statistic, necessary to evaluate the test, are provided. The detector performance using the Wigner-Ville distribution is investigated via simulated and theoretical results.

Keywords

Wigner distribution; array signal processing; matrix algebra; probability; signal detection; statistical analysis; time-frequency analysis; Wigner-Ville distribution; antenna arrays; auto-term detection; nonstationary signal detection; signal detection; spatial time-frequency distribution matrices; test statistic; time-frequency array processing; Array signal processing; Australia; Detectors; Kernel; Sensor arrays; Signal detection; Statistical analysis; Statistical distributions; Testing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1201719

Filename

1201719