This paper investigates the joint exploitation of Wi-Fi based Passive Bistatic Radar (PBR) and Wi-Fi based Passive Source Location (PSL) for drone localization. The inherent features of the two strategies and the results obtained from their comparison on experimental data show an interesting complementarity between them. Following this consideration, a proper sensor fusion strategy combining these two methodologies is investigated in order to achieve improved results in terms of positioning capability. The three strategies (PBR, PSL and sensor fusion) are evaluated against experimental data. The comparison between the use of the sensor fusion approach and the localization based on a single sensor (PBR or PSL) shows the benefits coming from the exploitation of multiple sensors.
Fusing active and passive measurements for drone localization / Milani, I.; Bongioanni, C.; Colone, F.; Lombardo, P.. - 2020-:(2020), pp. 245-249. (Intervento presentato al convegno 21st International Radar Symposium, IRS 2020 tenutosi a Warsaw - virtuale) [10.23919/IRS48640.2020.9253794].
Fusing active and passive measurements for drone localization
Milani I.;Bongioanni C.;Colone F.;Lombardo P.
2020
Abstract
This paper investigates the joint exploitation of Wi-Fi based Passive Bistatic Radar (PBR) and Wi-Fi based Passive Source Location (PSL) for drone localization. The inherent features of the two strategies and the results obtained from their comparison on experimental data show an interesting complementarity between them. Following this consideration, a proper sensor fusion strategy combining these two methodologies is investigated in order to achieve improved results in terms of positioning capability. The three strategies (PBR, PSL and sensor fusion) are evaluated against experimental data. The comparison between the use of the sensor fusion approach and the localization based on a single sensor (PBR or PSL) shows the benefits coming from the exploitation of multiple sensors.File | Dimensione | Formato | |
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