Research on UAV swarm target search algorithm based on prior information

Xiao-Yang Liu, Xiang-hui Shen
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Abstract

Aiming at the problem of limited sensing range and small search range of single UAV camera, this paper proposes a UAV cluster target search algorithm based on prior information. The algorithm firstly build tasks area target probability graph model, and according to the task of target location prior information to initialize parameters, set the objective function to maximize the task of search revenue environment, then USES the distributed model and to solve the objective function, optimal decision task, realize the coordinated search of UAV cluster. The simulation results show that the algorithm has fast search speed and can avoid obstacles, which has certain military application value.
基于先验信息的无人机群目标搜索算法研究
针对单个无人机摄像机感知距离有限、搜索范围小的问题,提出了一种基于先验信息的无人机聚类目标搜索算法。该算法首先建立任务区域目标概率图模型,并根据任务的目标位置先验信息初始化参数,设置目标函数以最大化任务搜索收益环境,然后利用分布式模型求解目标函数,对任务进行最优决策,实现无人机集群的协同搜索。仿真结果表明,该算法具有搜索速度快、避障能力强的特点,具有一定的军事应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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