Performance analysis of subspace based method for source localization in shallow water

Naidu, PS and Rao, BP (1996) Performance analysis of subspace based method for source localization in shallow water. In: Signal Processing, 48 (3). pp. 175-182.

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Abstract

The present paper aims at studying the performance characteristics of a subspace based algorithm for source localization in shallow water such as coastal water. Specifically, we study the performance of Multi Image Subspace Algorithm (MISA). Through first-order perturbation analysis and computer simulation it is shown that MISA is unbiased and statistically efficient. Further, we bring out the role of multipaths (or images) in reducing the error in the localization. It is shown that the presence of multipaths is found to improve the range and depth estimates. This may be attributed to the increased curvature of the wavefront caused by interference from many coherent multipaths.

Item Type:	Journal Article
Publication:	Signal Processing
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Source localization;Shallow water;Multipaths;Subspace;Mean square error
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	04 Aug 2011 06:18
Last Modified:	04 Aug 2011 06:18
URI:	http://eprints.iisc.ac.in/id/eprint/37458

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