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Communication Dans Un Congrès Année : 2017

Multi-resolution compressive sensing inversion of scattering data

Résumé

This paper proposes a novel technique for retrieving the dielectric features of weak scatterers in microwave imaging by means of a Compressive Sensing (CS)-based method enhanced by a multi-zoom strategy. A Relevance Vector Machine (RVM) is used to invert the data of the problem recast in a Bayesian framework, exploiting the combination of the a-priori information on the sparseness of the unknowns and the acquired knowledge during the iterative multi-scaling methodology. Representative results are presented to illustrate advantages and limitations of the proposed method.
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Dates et versions

hal-01583449 , version 1 (07-09-2017)

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Lorenzo Poli, Giacomo Oliveri, Andrea Massa. Multi-resolution compressive sensing inversion of scattering data. 11th European Conference on Antennas and Propagation (EuCAP 2017), Mar 2017, Paris, France. pp.1599-1602, ⟨10.23919/EuCAP.2017.7928548⟩. ⟨hal-01583449⟩
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