L0-Optimization for Channel and DOA Sparse Estimation

Adilson Chinatto 1 Emmanuel Soubies 2 Cynthia Junqueira 1 Joâo M. T. Romano 1 Pascal Larzabal 3 Jean-Pierre Barbot 3 Laure Blanc-Féraud 2
1 DSPCom - Laboratory of Signal Processing for Communications
2 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
3 SATIE - Systèmes et Applications des Technologies de l'Information et de l'Energie
Abstract : This paper is devoted to two classical sparse problems in array processing: Channel estimation and DOA estimation. It is shown after some background and some recent results in l0 optimization how this latter can be used, at the same computational cost, in order to obtain improvement in comparison with l1 optimization for sparse estimation.
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Submitted on : Wednesday, October 7, 2015 - 11:07:20 AM
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Adilson Chinatto, Emmanuel Soubies, Cynthia Junqueira, Joâo M. T. Romano, Pascal Larzabal, et al.. L0-Optimization for Channel and DOA Sparse Estimation. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2015, Cancun, Mexico. pp.305-308, ⟨10.1109/CAMSAP.2015.7383797⟩. ⟨hal-01212042⟩

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