UAV Passive Location Model Based on Azimuth Optimization Algorithm

To solve the problem of passive localization in Unmanned Aerial Vehicles (UAV) formation, a UAV passive localization model based on formation azimuth optimization algorithm is proposed. By solving the equation based on the formation characteristics, the model can achieve relatively accurate positioning and adjustment of the UAV with position deviation in the formation. This paper demonstrates the specific model and adjustment steps of the method in the scenario of 15 UAVs cone-shaped formation and 10 UAVs circular formation, and the simulation and error analysis of the model are carried out. According to the analysis, the positioning accuracy is obviously improved after optimization, which proves that the method is feasible.