Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/361534
Type: Artigo
Title: Direction-of-arrival estimation through exact continuous ℓ2,0-norm relaxation
Author: Soubies, Emmanuel
Chinatto, Adilson
Larzabal, Pascal
Romano, Joao M. T.
Blanc-Feraud, Laure
Abstract: On-grid based direction-of-arrival (DOA) estimation methods rely on the resolution of a difficult group-sparse optimization problem that involves the ℓ 2,0 pseudo-norm. In this work, we show that an exact relaxation of this problem can be obtained by replacing the ℓ 2,0 term with a group minimax concave penalty with suitable parameters. This relaxation is more amenable to non-convex optimization algorithms as it is continuous and admits less local (not global) minimizers than the initial ℓ 2,0 -regularized criteria. We then show on numerical simulations that the minimization of the proposed relaxation with an iteratively reweighted ℓ 2,0 algorithm leads to an improved performance over traditional approaches
Subject: Otimização
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/LSP.2020.3042771
Address: https://ieeexplore.ieee.org/document/9285195
Date Issue: 2020
Appears in Collections:FEEC - Artigos e Outros Documentos

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