An Alphabet Compressive Sensing (CS) approach is proposed in this paper for the retrieval of arbitrarily-shaped targets when no a-priori information on the class of scatterers at hand is available. The approach is based on the combination of (i) a fast CS retrieval methodology that is employed to invert the field data assuming several different candidate expansion bases (i.e., the alphabet), and (ii) a robust and effective algorithm for the (non-supervised) selection of the best reconstruction among those obtained with the available alphabet. Such a strategy allows to minimize the a-priori information necessary to obtain sparse representations of the unknown targets A preliminary numerical experiment is reported to validate the proposed methodology.

Alphabet CS for inverse scattering / Anselmi, Nicola; Poli, Lorenzo; Randazzo, Andrea; Oliveri, Giacomo. - STAMPA. - (2016), pp. 141-143. (Intervento presentato al convegno 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 tenutosi a Espoo, Finland nel 14th-18th August 2016) [10.1109/URSI-EMTS.2016.7571335].

Alphabet CS for inverse scattering

Anselmi, Nicola;Poli, Lorenzo;Oliveri, Giacomo
2016-01-01

Abstract

An Alphabet Compressive Sensing (CS) approach is proposed in this paper for the retrieval of arbitrarily-shaped targets when no a-priori information on the class of scatterers at hand is available. The approach is based on the combination of (i) a fast CS retrieval methodology that is employed to invert the field data assuming several different candidate expansion bases (i.e., the alphabet), and (ii) a robust and effective algorithm for the (non-supervised) selection of the best reconstruction among those obtained with the available alphabet. Such a strategy allows to minimize the a-priori information necessary to obtain sparse representations of the unknown targets A preliminary numerical experiment is reported to validate the proposed methodology.
2016
2016 URSI International Symposium on Electromagnetic Theory (EMTS)
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
9781509025022
Anselmi, Nicola; Poli, Lorenzo; Randazzo, Andrea; Oliveri, Giacomo
Alphabet CS for inverse scattering / Anselmi, Nicola; Poli, Lorenzo; Randazzo, Andrea; Oliveri, Giacomo. - STAMPA. - (2016), pp. 141-143. (Intervento presentato al convegno 2016 URSI International Symposium on Electromagnetic Theory, EMTS 2016 tenutosi a Espoo, Finland nel 14th-18th August 2016) [10.1109/URSI-EMTS.2016.7571335].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/168447
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