ICASSP 2016accepted0 citations

Sparsity-based localization of spatially coherent distributed sources

Wenmeng Xiong, José Picheral, Gilles Chardon, Sylvie Marcos

Abstract

In this paper, the localization of spatially distributed sources is considered. Based on the problem formulation of the Deconvolution 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.

BibTeX
@inproceedings{icassp2016_sparsitybasedloc,
  title = {Sparsity-based localization of spatially coherent distributed sources},
  author = {Wenmeng Xiong and José Picheral and Gilles Chardon and Sylvie Marcos},
  booktitle = {ICASSP 2016},
  year = {2016}
}
Sparsity-based localization of spatially coherent distributed sources · ICASSP 2016