An innovative approach based on a total variation (TV) version of the compressive sensing (CS) technique is proposed for the two-dimensional far field reconstruction from a limited number of measurement points. The reconstruction problem is formulated as the minimization of an augmented Lagrangian function. A set of numerical experiments results is provided to assess the potentialities and features of the proposed method.

A total-variation compressive processing approach to two-dimensional field reconstruction / Li, B.; Oliveri, G.; Anselmi, N.; Massa, A.; Ke, W.; Tang, W.. - ELETTRONICO. - (2019), pp. 1467-1468. (Intervento presentato al convegno APSURSI 2019 tenutosi a Atlanta, GA nel 7th-12th July 2019) [10.1109/APUSNCURSINRSM.2019.8888291].

A total-variation compressive processing approach to two-dimensional field reconstruction

Oliveri G.;Anselmi N.;Massa A.;
2019-01-01

Abstract

An innovative approach based on a total variation (TV) version of the compressive sensing (CS) technique is proposed for the two-dimensional far field reconstruction from a limited number of measurement points. The reconstruction problem is formulated as the minimization of an augmented Lagrangian function. A set of numerical experiments results is provided to assess the potentialities and features of the proposed method.
2019
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting Proceedings
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
978-1-7281-0692-2
Li, B.; Oliveri, G.; Anselmi, N.; Massa, A.; Ke, W.; Tang, W.
A total-variation compressive processing approach to two-dimensional field reconstruction / Li, B.; Oliveri, G.; Anselmi, N.; Massa, A.; Ke, W.; Tang, W.. - ELETTRONICO. - (2019), pp. 1467-1468. (Intervento presentato al convegno APSURSI 2019 tenutosi a Atlanta, GA nel 7th-12th July 2019) [10.1109/APUSNCURSINRSM.2019.8888291].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/247809
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