CORC  > 兰州理工大学  > 兰州理工大学  > 电气工程与信息工程学院
Threat Assessment and Sensor Control for Multi-target Tracking via PHD Filter
Chen, Hui; He, Zhongliang; Liu, Bei
2017
关键词multi-target tracking threat degree tactical significance map sensor control
页码1714-1719
英文摘要In consideration of the sensor control under the real tracking environment, this paper presents a threat assessment based sensor control. First, the factors that affect the threat level of target are analyzed. Moreover, this paper uses the approximate multi-target filter to estimate multi-target states, and determine the target with the maximum threat degree at the different times based on the Tactical Significance Map (TSM) function. Finally, the Renyi divergence is used as objective function for sensor control, and the final control policy is solved through the maximum information gain criterion. Simulation results show the effectiveness of the presented method.
会议录2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA)
会议录出版者IEEE
会议录出版地345 E 47TH ST, NEW YORK, NY 10017 USA
语种英语
资助项目National Natural Science Foundation of China[61370037][61005026][61461026] ; Gansu Provincial Science and Technology Planning of China[1506RJZA090][1506RJIA031]
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering ; Robotics
WOS记录号WOS:000426271700299
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/36232]  
专题电气工程与信息工程学院
通讯作者Chen, Hui
作者单位Lanzhou Univ Technol, Sch Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式
GB/T 7714
Chen, Hui,He, Zhongliang,Liu, Bei. Threat Assessment and Sensor Control for Multi-target Tracking via PHD Filter[C]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace