基于WiFi无源雷达和设备技术的二维定位:目标测量精度分析

Ileana Milani, F. Colone, P. Lombardo
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引用次数: 2

摘要

这项工作的目的是研究两种基于WiFi信号的定位技术的性能:基于WiFi的无源雷达和基于设备的技术,该技术利用到达角(AoA)和到达时差的测量。本文着重讨论了AoA测量的精度。正如预期的那样,结果表明,对于这两种技术,AoA精度取决于信噪比,也取决于开采的接收信号样本的数量。对于无源雷达,得到了非常精确的估计;然而,只有当接入点数据包的速率大大降低时,才会出现检测丢失。相比之下,基于设备的估计精度较低,因为当设备不上传数据时,它受到发射数据包数量有限的影响。然而,它也允许定位静止目标,这对于无源雷达是不可能的。这表明这两种技术是互补的,它们的融合可以提供相对于单个技术的显着提高性能。
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2D Localization with WiFi Passive Radar and Device-Based Techniques: An Analysis of Target Measurements Accuracy
The aim of the work is to investigate the performance of two localization techniques based on WiFi signals: the WiFi-based passive radar and a device-based technique that exploits the measurement of angle of arrival (AoA) and time difference of arrival. This paper focuses specifically on the accuracy of the AoA measurements. As expected, the results show that for both techniques the AoA accuracy depends on the signal-to-noise ratio also in terms of the number of exploited received signal samples. For the passive radar, very accurate estimates are obtained; however, loss of detections can appear only when the rate of the Access Point packets is strongly reduced. In contrast, device-based estimates accuracy is lower, since it suffers of the limited number of emitted packets when the device is not uploading data. However, it allows localization also of stationary targets, which is impossible for the passive radar. This suggests that the two techniques are complementary and their fusion could provide a sensibly increase performance with respect to the individual techniques.
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