基于无人机定位的AOA测量处理

G. Fokin
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引用次数: 11

摘要

本文研究了基于无人机接收站的飞行段与包括固定地面接收站在内的地面段协同定位发射机的三维到达角测量处理模型,并验证了其处理非视距问题的实用性。无人机的定位与搜索和救援(S&R)行动特别相关,在异构地形中,固有反射导致主要测量失真。在固定地面接收站的2D场景下,NLOS问题已经得到了深入的研究,然而对于基于3D无人机的定位,这是一个正在进行的研究课题。本文分析了无人机定位的相关工作,探讨了AOA技术的优缺点。本研究的主要贡献在于利用AOA测量处理方法对基于地面和无人机接收站的无线发射机定位模型进行了改进,并对其在NLOS条件下处理AOA噪声的性能进行了评估,并与crmer - rao下界(CRLB)进行了比较。由此得出的估计与已知结果一致,并验证了在AOA偏差小于10度的情况下,仅用两个站在NLOS场景中定位发射机的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AOA Measurement Processing for Positioning using Unmanned Aerial Vehicles
This paper considers 3D angle of arrival (AOA) measurements processing model for positioning a transmitter by cooperation of flying segment based on receiver station aboard Unmanned Aerial Vehicle (UAV) with terrestrial segment including stationary ground receiver station and confirms its practicability for handling Non-Line-Of-Sight (NLOS) problem. Positioning with UAVs is especially relevant for search and rescue (S&R) operations in heterogeneous terrain with inherent reflections resulting in primary measurements distortion. NLOS problem was thoroughly investigated for 2D scenarios with stationary ground receiver stations, however for 3D UAV based positioning this is a topic of ongoing research. In this paper relevant works for UAV based positioning were analyzed to explore advantages and shortcomings of AOA technique. The contribution of the current research is the refinement of model for positioning of radio transmitter with one stationary ground and one flying UAV based receiver station using AOA measurement processing, its performance evaluation with handling AOA noise in NLOS conditions, and comparison with Cramer-Rao lower bound (CRLB). Resulting estimates agree with known results and validate possibility to locate the transmitter in NLOS scenarios with just two stations when AOA deviation is less than 10 degrees.
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