The retrieval of buried objects is addressed through an innovative frequency-hopping imaging technique. The a-priori knowledge on the sparseness of the retrieved profiles (in a suitable representation basis) is exploited to process the spectral content of wideband signals collected in ground-penetrating radar (GPR) scenario. Towards this end, a frequency hopping procedure based on a customized version of the multi-task (MT) Bayesian Compressive Sensing is developed. Selected numerical results are reported to preliminarily assess the effectiveness of the presented strategy
A frequency-hopping BCS strategy for imaging buried objects / Tenuti, Lorenza; Oliveri, Giacomo; Viani, Federico; Polo, Alessandro; Donelli, Massimo; Massa, Andrea. - (2015), pp. 1-4. (Intervento presentato al convegno MMS’2015 tenutosi a Lecce, Italy nel 30th November – 2nd December 2 2015) [10.1109/MMS.2015.7375395].
A frequency-hopping BCS strategy for imaging buried objects
Tenuti, Lorenza;Oliveri, Giacomo;Viani, Federico;Polo, Alessandro;Donelli, Massimo;Massa, Andrea
2015-01-01
Abstract
The retrieval of buried objects is addressed through an innovative frequency-hopping imaging technique. The a-priori knowledge on the sparseness of the retrieved profiles (in a suitable representation basis) is exploited to process the spectral content of wideband signals collected in ground-penetrating radar (GPR) scenario. Towards this end, a frequency hopping procedure based on a customized version of the multi-task (MT) Bayesian Compressive Sensing is developed. Selected numerical results are reported to preliminarily assess the effectiveness of the presented strategyFile | Dimensione | Formato | |
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