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Communication Dans Un Congrès Année : 2017

Frequency-hopping GPR prospecting of sparse scatterers through Bayesian compressive sensing

Résumé

An innovative ground penetrating radar (GPR) inverse scattering (IS) methodology for imaging sparse buried objects is proposed. The developed methodology integrates a customized Bayesian compressive sensing (BCS) solver within a frequency hopping (FH) strategy in order to (i) regularize the IS problem by enforcing sparsity priors on the unknown scatterers as well as to (ii) exploit the multi-chromatic informative content of GPR data. A preliminary numerical benchmark is shown to preliminarily assess the effectiveness of the proposed FH-BCS technique in providing robust and accurate subsurface images.
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Dates et versions

hal-01584109 , version 1 (08-09-2017)

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Marco Salucci, Lorenza Tenuti, Giacomo Oliveri, Andrea Massa. Frequency-hopping GPR prospecting of sparse scatterers through Bayesian compressive sensing. International Applied Computational Electromagnetics Society Symposium - Italy (ACES), 2017 , Mar 2017, Florence, Italy. pp.1-2, ⟨10.23919/ROPACES.2017.7916390⟩. ⟨hal-01584109⟩
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