演示:我不怕GPS干扰器:利用蜂窝信号在GPS拒绝的环境中进行精确的地面车辆导航

Ali A. Abdallah, Zaher M. Kassas, Chiawei Lee
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引用次数: 3

摘要

该演示展示了前所未有的攻击防御结果,地面车辆导航到米级精度的防御机制,利用来自8个蜂窝长期演进(LTE)塔的信号,这些信号在实验之前就被绘制出来了,这些信号来自美国移动运营商T- mobile和Verizon,其中一个距离地面车辆超过52公里。这些信号由作者的软件定义无线电(SDR)处理以产生伪距测量,并通过扩展卡尔曼滤波器融合以估计车辆的轨迹。该防御机制仅在蜂窝LTE信号和没有其他传感器的情况下实现了2.6 m的位置RMSE。结果总结在图2中。请注意,为了获得车辆的地面真实轨迹,使用了车载GNSS- imu系统,该系统利用了来自无干扰GNSS星座(伽利略和GLONASS)的信号。值得注意的是,在此演示中实现的前所未有的2.6位置RMSE比先前在相同环境中发布的结果小一个数量级,后者实现了29.4 m的位置RMSE。更多的细节可以在视频中找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demo: I Am Not Afraid of the GPS Jammer: Exploiting Cellular Signals for Accurate Ground Vehicle Navigation in a GPS-Denied Environment
T HIS demo presents unprecedented attack-defense results of a ground vehicle navigating to a meter-level accuracy in defense mechanism exploited signals from eight cellular long-term evolution (LTE) towers, whose positions were mapped prior to the experiment, from the U.S. cellular providers T-Mobile and Verizon, one of which was more than 52 km away from the ground vehicle. These signals were processed by the author’s software-defined radio (SDR) to produce pseudorange measurements, which were fused through an extended Kalman filter to estimate the vehicle’s trajectory. The defense mechanism achieved a position RMSE of 2.6 m exclusively with cellular LTE signals and no other sensors. The results are summarized in Fig. 2. Note that to obtain the vehicle’s ground truth trajectory, a vehicle-mounted GNSS-IMU system was used, which utilized signals from the non-jammed GNSS constellations (Galileo and GLONASS). It is worth noting that the unprecedented 2.6 position RMSE achieved in this demo are an order of magnitude smaller than previously published results in the same environment, which achieved a position RMSE of 29.4 m. Further details can be found in the video.
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