This paper presents the application of the Particle Swarm Optimization (PSO) in synthetic aperture radar (SAR) methods exploiting multiple antennas for UHF-RFID tag localization. To perform 3D tag positioning, a robot equipped with two reader antennas is moving in the indoor scenario. The applicability of the PSO approach in SAR-based localization is discussed through a numerical analysis and an experimental campaign. A centimeter order localization error is achieved for 3D tag localization with a reduced computational cost with respect to classical SAR-based methods.

Particle swarm optimization in multi-antenna SAR-based localization for UHF-RFID tags

Bernardini F.;Motroni A.;Nepa P.;Buffi A.;Tripicchio P.;
2019-01-01

Abstract

This paper presents the application of the Particle Swarm Optimization (PSO) in synthetic aperture radar (SAR) methods exploiting multiple antennas for UHF-RFID tag localization. To perform 3D tag positioning, a robot equipped with two reader antennas is moving in the indoor scenario. The applicability of the PSO approach in SAR-based localization is discussed through a numerical analysis and an experimental campaign. A centimeter order localization error is achieved for 3D tag localization with a reduced computational cost with respect to classical SAR-based methods.
2019
978-1-7281-0589-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1028243
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