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Communication Dans Un Congrès Année : 2022

Robust PCA for Through-the-Wall Radar Imaging

Résumé

Through-the-wall radar imaging (TWRI) is an ongoing field of research which aims at investigating the inside of a building from its outside. In the most common setting, it seeks to detect or monitor stationary targets. Departing from usual delay-and-sum techniques, sparse recovery problems have been proposed to solve this detection problem. These methods rely on a preprocessing step where an appropriate separation of wall and target subspaces is first performed to remove the front wall response. In this work, we explore one-step methods using joint low-rank and sparse decomposition methods through the Robust PCA (RPCA) framework. The novelty is a one-step recovery from a structured inversion problem for which we tailor an Alternating Direction Method of Multipliers (ADMM) algorithm. We validate and compare our method on simulations.
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Dates et versions

hal-04075584 , version 1 (20-04-2023)

Identifiants

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Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac. Robust PCA for Through-the-Wall Radar Imaging. 30th European Signal Processing Conference (EUSIPCO) 2022, EURASIP, Aug 2022, Belgrade, Serbia. pp.2246-2250, ⟨10.23919/EUSIPCO55093.2022.9909960⟩. ⟨hal-04075584⟩
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