In this paper two approaches are considered for human targets localization based on the WiFi signals: the device emission-based localization and the passive radar. Localization performance and characteristics of the two localization techniques are analyzed and compared, aiming at their joint exploitation inside sensor fusion systems. The former combines the Angle of Arrival (AoA) and the Time Difference of Arrival (TDoA) measures of the device transmissions to achieve the target position, while the latter exploits the AoA and the bistatic range measures of the target echoes. The results obtained on experimental data show that the WiFi emission-based strategy is always effective for the positioning of human targets holding a WiFi device, but it has a poor localization accuracy and the number of measured positions largely depends on the device activity. In contrast, the passive radar is only effective for moving targets and has limited spatial resolution but it provides better accuracy performance, thanks to the possibility to integrate a higher number of received signals. These results also demonstrate a significant complementarity of these techniques, through a suitable experimental test, which opens the way to the development of appropriate sensor fusion techniques.

WiFi emission-based vs passive radar localization of human targets / Milani, Ileana; Colone, Fabiola; Bongioanni, Carlo; Lombardo, Pierfrancesco. - ELETTRONICO. - (2018), pp. 1311-1316. (Intervento presentato al convegno 2018 IEEE Radar Conference (RadarConf18) tenutosi a Oklahoma City; OK; USA) [10.1109/RADAR.2018.8378753].

WiFi emission-based vs passive radar localization of human targets

MILANI, ILEANA;Colone, Fabiola;Bongioanni, Carlo;Lombardo, Pierfrancesco
2018

Abstract

In this paper two approaches are considered for human targets localization based on the WiFi signals: the device emission-based localization and the passive radar. Localization performance and characteristics of the two localization techniques are analyzed and compared, aiming at their joint exploitation inside sensor fusion systems. The former combines the Angle of Arrival (AoA) and the Time Difference of Arrival (TDoA) measures of the device transmissions to achieve the target position, while the latter exploits the AoA and the bistatic range measures of the target echoes. The results obtained on experimental data show that the WiFi emission-based strategy is always effective for the positioning of human targets holding a WiFi device, but it has a poor localization accuracy and the number of measured positions largely depends on the device activity. In contrast, the passive radar is only effective for moving targets and has limited spatial resolution but it provides better accuracy performance, thanks to the possibility to integrate a higher number of received signals. These results also demonstrate a significant complementarity of these techniques, through a suitable experimental test, which opens the way to the development of appropriate sensor fusion techniques.
2018
2018 IEEE Radar Conference (RadarConf18)
WiFi transmissions; passive radar; device-based localization; human targets localization
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
WiFi emission-based vs passive radar localization of human targets / Milani, Ileana; Colone, Fabiola; Bongioanni, Carlo; Lombardo, Pierfrancesco. - ELETTRONICO. - (2018), pp. 1311-1316. (Intervento presentato al convegno 2018 IEEE Radar Conference (RadarConf18) tenutosi a Oklahoma City; OK; USA) [10.1109/RADAR.2018.8378753].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1122614
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