论文摘要
In order to enhance the capability of tracking targets autonomously of unmanned aerial vehicle(UAV), the partially observable Markov decision process(POMDP) model for UAV path planning is established based on the POMDP framework. The elements of the POMDP model are analyzed and described. The state transfer law in the model can be described by the method of interactive multiple model(IMM) due to the diversity of the target motion law, which is used to switch the motion model to accommodate target maneuvers, and hence improving the tracking accuracy.The simulation results show that the model can achieve efficient planning for the UAV route, and effective tracking for the target.Furthermore, the path planned by this model is more reasonable and efficient than that by using the single state transition law.
论文目录
文章来源
类型: 期刊论文
作者: YANG Qiming,ZHANG Jiandong,SHI Guoqing
来源: Journal of Systems Engineering and Electronics 2019年03期
年度: 2019
分类: 信息科技,工程科技Ⅱ辑
专业: 航空航天科学与工程
单位: School of Electronics and Information,Northwestern Polytechnical University
基金: supported by the Aeronautical Science Foundation of China(20135153031,20135553035,2017ZC53033)
分类号: V279;V249
页码: 545-554
总页数: 10
文件大小: 1277K
下载量: 39