Threat assessment and sensor control for multi-target tracking via PHD filter

doi:10.1109/ICMA.2017.8016076

	Threat assessment and sensor control for multi-target tracking via PHD filter
	Chen, Hui; He, Zhongliang; Liu, Bei
	2017-08-23
会议日期	August 6, 2017 - August 9, 2017
会议地点	Takamatsu, Japan
关键词	Clutter (information theory) Control policy Information gain Multi-target tracking Objective functions Sensor control Significance maps Threat assessment Threat degree
DOI	10.1109/ICMA.2017.8016076
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 Rényi 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. © 2017 IEEE.
会议录	2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117981]
专题	电气工程与信息工程学院
作者单位	School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu Province; 730050, 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:. Takamatsu, Japan. August 6, 2017 - August 9, 2017.