Direction-of-Arrival Estimation Through Exact Continuous ℓ2,0-Norm Relaxation

On-grid based direction-of-arrival (DOA) estimation methods rely on the resolution of a difficult group-sparse optimization problem that involves the <inline-formula><tex-math notation="LaTeX">\ell _{2,0}</tex-math></inline-formula> pseudo-norm. In this work, we sho...

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Vydané v:	IEEE signal processing letters Ročník 28; s. 16 - 20
Hlavní autori:	Soubies, Emmanuel, Chinatto, Adilson, Larzabal, Pascal, Romano, Joao M. T., Blanc-Feraud, Laure
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	0}</tex-math> </inline-formula>-norm minimization <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> ell _{2 Algorithms Antenna arrays Computational geometry Convexity Direction of arrival Direction-of-arrival estimation DOA Estimation exact relaxations Minimax technique Minimization MMV-sparse optimization Optimization Signal processing algorithms Sparse matrices
ISSN:	1070-9908, 1558-2361
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