基于人工蜂鸟算法的无人机定位优化布局

2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Pub Date : 2022-10-25 DOI:10.1109/ICSPCC55723.2022.9984618

Mengxin Wang, Wenjing Jiang, Xianglong Ye, Zheng-wei Wang, Jie Li, Zhigang Liu

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引用次数: 0

摘要

为了提高无人机编队的定位精度，提出了一种基于人工蜂鸟算法(AHA)的无人机编队优化方法。首先，根据无人机编队初步侦察得到的目标位置估计和事先设定的半径，划分目标区域，然后构造该优化问题的目标函数，利用AHA算法求解目标函数，对无人机编队进行优化。仿真结果表明，该方法可以有效提高无人机编队的定位精度，并且与粒子群算法、GWO算法和SSA算法相比，AHA算法在该问题场景下具有更好的性能。

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Optimal UAVs placement for localization based on artificial hummingbird algorithm

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.

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2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)

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