Optimal UAVs placement for localization based on artificial hummingbird algorithm
Mengxin Wang, Wen Jiang, Xianglong Ye, Zhengwei Wang, Jie Li, Zhigang Liu · 2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) · 2022
In order to improve the positioning accuracy of the UAVs formation, this paper presents a method to optimize the UAVs formation based on artificial hummingbird algorithm(AHA). Firstly, a target area is delimited according to the target location estimate obtained from the preliminary reconnaissance of the UAVs formation and the radius set in advance, then the objective function of this optimization problem is constructed and the AHA is used to solve the objective function to optimize the formation of UAVs. The simulation result shows that the positioning accuracy of the UAVs formation can be improved effectively by this method, and compared with PSO, GWO and SSA, AHA has better performance in this problem scenario.