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Multifrequency Bayesian compressive sensing methods for microwave imaging

Lorenzo Poli 1 Giacomo Oliveri 1 Ping-Ping Ding 2 Toshifumi Moriyama 3 Andrea Massa 1
1 ELEDIA Research Group - Department of Information Engineering and Computer Science
2 L2S - Laboratoire des signaux et systèmes
3 Department of Electrical and Electronic Engineering
Abstract : The Bayesian retrieval of sparse scatterers under multifrequency transverse magnetic illuminations is addressed. Two innovative imaging strategies are formulated to process the spectral content of microwave scattering data according to either a frequency-hopping multistep scheme or a multifrequency one-shot scheme. To solve the associated inverse problems, customized implementations of single-task and multitask Bayesian compressive sensing are introduced. A set of representative numerical results is discussed to assess the effectiveness and the robustness against the noise of the proposed techniques also in comparison with some state-of-the-art deterministic strategies.
Keywords : sparse scatterers imaging Microwave scattering Bayesian Compressive Sensing single-task multi-task
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https://hal-supelec.archives-ouvertes.fr/hal-01108387
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Submitted on : Thursday, January 22, 2015 - 4:10:20 PM
Last modification on : Saturday, May 1, 2021 - 3:39:28 AM

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Lorenzo Poli, Giacomo Oliveri, Ping-Ping Ding, Toshifumi Moriyama, Andrea Massa. Multifrequency Bayesian compressive sensing methods for microwave imaging. Journal of the Optical Society of America, Optical Society of America, 2014, 31 (11), pp.2415-2428. ⟨10.1364/JOSAA.31.002415⟩. ⟨hal-01108387⟩

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