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Sparsity-based localization of spatially coherent distributed sources

By Wenmeng Xiong, José Picheral, Sylvie Marcos and Gilles Chardon

Abstract

International audienceIn this paper, the localization of spatially distributed sources is considered. Based on the problem formulation of the De-convolution Approach for the Mapping of Acoustic Sources (DAMAS), a criterion based on a convex optimization under sparsity constraint is proposed to locate the sources. Also an original method is given to recover the angular distributions and the power of the sources. Simulations executed in the scenario of a mixture of distributed and point sources illustrate the validation of the proposed approach compared to other methods

Topics: CMF, DAMAS, angular dispersion, sparsity method, Index Terms— distributed sources, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
Publisher: HAL CCSD
Year: 2016
DOI identifier: 10.1109/ICASSP.2016.7472276
OAI identifier: oai:HAL:hal-01231789v1
Provided by: Hal-Diderot

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