SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Localization of Wideband Sources in Colored Noise via Generalized Least Squares (GLS)

Author(s)

Javad Mohammadpour Velni	Mechanical Engg. dept., University of Houston, Houston, TX, USA
Kash Khorasani	ECE dept., Concordia University, Montreal, Canada

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Abstract

In this paper we present a new method for localization of wideband sources in the presence of colored noise. The optimization criterion used is an extension of conventional least-squares method known as generalized least squares (GLS). The crux of the criterion is based on covariance matching and involves its transformation that yields a more efficient and consistent estimate of the direction of arrivals (DOAs) as compared to the LS and GLS methods that are only developed in the literature for narrowband sources.