Establishment and Analysis of Passive Localization Model for a Class of Unmanned Aerial Vehicle Systems
Liwen Yu, Qianru Yang, Yuqian Li, Ruikun Zhang · 2024
In order to avoid the interference of external magnetic field, UAV swarms should keep electromagnetic silence while flying, and using pure azimuth passive localization to adjust the position of UAVs is an effective method. The pure azimuth passive localization problem for UAVs includes two scenarios: known and unknown positions and quantities of UAVs emitting signals. For the case that the number and position of the three UAVs transmitting signals are known, a localization model based on the sine-cosine theorem, iteration and other methods for passively receiving signal UAVs is established for adjusting the position of the UAVs in order to realize the effective adjustment of the position of the UAVs. For the case that the number and quantity of some UAVs transmitting signals are unknown, this paper proposes an effective localization model of UAVs with a slight deviation of a certain position based on the polar coordinate localization method and the characteristics of the hidden circle model. Meanwhile, the relevant properties of the sine-cosine function are utilized to determine the uniqueness of the solution. Finally, the accuracy of the model is verified by numerical simulation. The results show that the theoretical credibility of the method proposed in this paper is strong and provides a more reliable theoretical support for the research in the field of UAV technology.