Bearing-crossing localization technology for UAV target based on signal characteristics

Passive bearing-crossing localization technology has an important application in the scenario of UAV (Unmanned Aerial Vehicle) target positioning, in which the removal of false intersection points in the process of multi-target location is a key issue. To address this problem, a bearing-crossing localization technology based on the signal characteristics of UAVs is proposed. Firstly, the algorithm analyzes the characteristic parameters of the image transmission signal of UAV. Then, according to the characteristic parameters, the correlation between the signal and the corresponding UAV target is established, and the multi-target bearing-crossing localization problem is transformed into multiple single-target location problems, so as to eliminate false intersection points. Finally, the pseudo-linear least squares method is used to complete the bearing-crossing localization of multiple UAV targets. Simulation results show that the algorithm has good positioning effects and reliability in the positioning of multiple UAV targets.