Pure Azimuth Passive Positioning in Attempted UAV Formation Flight

Abstract

This paper focuses on the pure orientation passive positioning problem in the attempted formation flight of UAVs. By establishing the geometric relationship between the UAV receiving signals and the UAV transmitting signals in the flight state, the triangular positioning model and the dynamic planning model are constructed, and the least squares-based triangular positioning algorithm, the least squares-based cross positioning algorithm, the greedy algorithm and the ant colony algorithm are used to determine the position of UAVs under different conditions. The pure azimuth passive positioning system in UAV attempted formation flight is studied to obtain the determination of UAV positions under different states. The formation is composed of 10 UAVs, forming a circular formation. The UAVs all keep flying at the same altitude based on their perceived altitude information. Modeling solves the positioning model of the UAV passively receiving the signal when the position of the UAV transmitting the signal has no deviation and the number is known. If there is no deviation in the position of the UAVs transmitting signals, except two of them transmitting signals, find to achieve effective positioning of UAVs. And give the UAV adjustment scheme under different strategies.