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

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01584109
Contributor : Andrea Massa <>
Submitted on : Friday, September 8, 2017 - 12:30:26 PM
Last modification on : Thursday, April 5, 2018 - 12:30:05 PM

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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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