Three-dimensional localization of multiple acoustic sources in shallow ocean with non-Gaussian noise

Madadi, Z and Anand, GV and Premkumar, AB (2014) Three-dimensional localization of multiple acoustic sources in shallow ocean with non-Gaussian noise. In: DIGITAL SIGNAL PROCESSING, 32 . pp. 85-99.

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Abstract

In this paper, a low-complexity algorithm SAGE-USL is presented for 3-dimensional (3-D) localization of multiple acoustic sources in a shallow ocean with non-Gaussian ambient noise, using a vertical and a horizontal linear array of sensors. In the proposed method, noise is modeled as a Gaussian mixture. Initial estimates of the unknown parameters (source coordinates, signal waveforms and noise parameters) are obtained by known/conventional methods, and a generalized expectation maximization algorithm is used to update the initial estimates iteratively. Simulation results indicate that convergence is reached in a small number of (<= 10) iterations. Initialization requires one 2-D search and one 1-D search, and the iterative updates require a sequence of 1-D searches. Therefore the computational complexity of the SAGE-USL algorithm is lower than that of conventional techniques such as 3-D MUSIC by several orders of magnitude. We also derive the Cramer-Rao Bound (CRB) for 3-D localization of multiple sources in a range-independent ocean. Simulation results are presented to show that the root-mean-square localization errors of SAGE-USL are close to the corresponding CRBs and significantly lower than those of 3-D MUSIC. (C) 2014 Elsevier Inc. All rights reserved.

Item Type:	Journal Article
Publication:	DIGITAL SIGNAL PROCESSING
Additional Information:	Copyright for this article belongs to the ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	27 Aug 2014 05:05
Last Modified:	27 Aug 2014 05:05
URI:	http://eprints.iisc.ac.in/id/eprint/49685

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