Multifrequency Bayesian compressive sensing methods for microwave imaging

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...

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Bibliographic Details
Published in:Journal of the Optical Society of America. A, Optics, image science, and vision Optics, image science, and vision, 2014-11, Vol.31 (11), p.2415-2428
Main Authors: Poli, Lorenzo, Oliveri, Giacomo, Ding, Ping Ping, Moriyama, Toshifumi, Massa, Andrea
Format: Article
Language:English
Subjects:
Algorithms
Bayes Theorem
Bayesian analysis
Detection
Illumination
Image Processing, Computer-Assisted - methods
Imaging
Inverse problems
Microwave scattering
Microwaves
Retrieval
State of the art
Strategy
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Summary: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.
ISSN:1084-7529
1520-8532
DOI:10.1364/JOSAA.31.002415