WiFi emission-based vs passive radar localization of human targets
WiFi emission-based vs passive radar localization of human targets
复制标题
基于 WiFi 发射的人体目标定位与无源雷达定位
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
P. Lombardo
中科院分区：
文献类型：
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作者：
Ileana Milani;F. Colone;C. Bongioanni;P. Lombardo
本文研究了两种基于WiFi信号的人体目标定位方法：基于设备发射的定位方法和基于被动雷达的定位方法。针对两种定位技术在传感器融合系统中的联合开发，分析比较了两种定位技术的定位性能和特点。前者结合设备传输的到达角(AOA)和到达时差(TDOA)测量来获得目标位置，而后者利用目标回波的AOA和双基地距离测量来实现目标位置。实验结果表明，基于WiFi辐射的定位策略对于手持WiFi设备的人体目标的定位总是有效的，但定位精度较差，测量位置的数量在很大程度上取决于设备的活跃度。相比之下，被动雷达只对运动目标有效，空间分辨率有限，但由于可以整合更多的接收信号，它提供了更好的精度性能。这些结果还表明，通过适当的实验测试，这些技术具有显著的互补性，这为开发适当的传感器融合技术开辟了道路。
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.