Title :
Wideband source modeling and localization: a HOS-based approach
Author :
Shamsunder, Sanyogita ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Abstract :
A polyspectra-based solution to the nonparametric multichannel system identification problem is proposed. As an application, the problems of wideband source bearing estimation an identification are considered. Simultaneous detection and parameter estimation of wideband sources arriving at a sensor array are performed using higher-order statistics. Source detection and consistent parameter estimation are approached via a polyspectra-based information theoretic criterion. The proposed methods, besides being insensitive to additive Gaussian noise, are not restricted to minimum phase equivalents and are asymptotically optimal for non-Gaussian signals with unknown distributions
Keywords :
parameter estimation; random noise; signal processing; spectral analysis; statistical analysis; additive Gaussian noise; array processing; asymptotically optimal methods; consistent parameter estimation; higher-order statistics; nonGaussian signals; nonparametric multichannel system identification; polyspectra-based information theoretic criterion; sensor array; wideband source bearing estimation; wideband source detection; Additive noise; Delay; Direction of arrival estimation; Gaussian noise; Parameter estimation; Sensor arrays; Sensor phenomena and characterization; Signal processing; System identification; Wideband;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186477