Particle Swarm Optimization in Multi-Antenna SAR-based Localization for UHF-RFID Tags

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.