Multi-objective Dynamic Optimization Scheme for Unmanned Aerial Vehicles

In this paper, we analyzed the effective location of unmanned aerial vehicle (UAV) transmitting signal and the position adjustment of UAV in different formation, and established the mathematical model of multi-objective dynamic programming under the shortest path. The corresponding model is solved by using optimization algorithm and simulated annealing algorithm. The precise azimuth of a passive UAV is calculated from known polar coordinates and angles. Based on the three-target bearings-only triangulation method, the target triangle is obtained and the UAV position is determined by heart. The UAV with better position on the circumference is selected as the launch source.