title: Orthogonal matching pursuit applied to the deconvolution approach for the mapping of acoustic sources inverse problem.
abstract: Microphone arrays and beamforming have become a standard method to localize aeroacoustic sources. Deconvolution techniques have been developed to improve spatial resolution of beamforming maps. The deconvolution approach for the mapping of acoustic sources (DAMAS) is a standard deconvolution technique, which has been enhanced via a sparsity approach called sparsity constrained deconvolution approach for the mapping of acoustic sources (SC-DAMAS). In this paper, the DAMAS inverse problem is solved using the orthogonal matching pursuit (OMP) and compared with beamforming and SC-DAMAS. The resulting noise source maps show that OMP-DAMAS is an efficient source localization technique in the case of uncorrelated or correlated acoustic sources. Moreover, the computation time is clearly reduced as compared to SC-DAMAS.
authors.affiliation: GAUS-Department of Mechanical Engineering, Université de Sherbrooke, 2500 boulevard de l'université, Sherbrooke, Quebec J1K 2R1, Canada.
authors.forename: Thomas
authors.initials: T
authors.lastname: Padois
authors.affiliation: GAUS-Department of Mechanical Engineering, Université de Sherbrooke, 2500 boulevard de l'université, Sherbrooke, Quebec J1K 2R1, Canada.
authors.forename: Alain
authors.initials: A
authors.lastname: Berry