无人机自动定位优化TDOA定位性能

D. V. Van Rheeden, B. Brown, J.C. Price, B. Abbott, G. Willden
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引用次数: 8

摘要

无人驾驶飞行器(uav)已被证明在许多重要任务中非常有用,例如监视、遥感和射频(RF)发射器的地理定位。典型的无人机飞行预编程的飞行路径,或者他们允许有限的飞行路径改变通过地面站控制器。然而,地面站控制器很难以优化地理定位性能的方式对无人机进行定位。本文探讨了利用到达时差(TDOA)方法对无人机资产进行自动重定位以优化定位精度的问题。首先,我们确定了各种场景下可以实现的地理定位精度和所需的TDOA授时精度。其次,我们描述了一种算法来确定每个TDOA测量的质量。用受传播效应和同信道干扰破坏的信号数据验证了该方法。第三,提出了一种优化无人机定位精度的路径规划算法。最后给出了现场试验数据的一些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic positioning of UAVs to optimize TDOA geolocation performance
Unmanned aerial vehicles (UAVs) have proved extremely useful for a number of important tasks such as surveillance, remote sensing, and geolocation of radio frequency (RF) transmitters. Typically UAVs fly pre-programmed flight paths, or they allow for limited flight path changes via ground station controllers. However, it is difficult for ground station controllers to position UAVs in a manner that optimizes geolocation performance. This paper explores the problem of automatically repositioning UAV assets to optimize geolocation accuracy via time difference of arrival (TDOA) methods. First, we determine the geolocation accuracy that can be achieved for various scenarios and the TDOA timing accuracy needed. Second, we describe an algorithm to determine the quality of each TDOA measurement. Signal data corrupted by propagation effects and co-channel interference is used to validate the approach. Third, a path-planning algorithm for repositioning the UAVs to optimize geolocation accuracy is presented. Finally, some results using field test data are presented.
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