Sensor management method under target threat level risk control

被引：0
作者：
Pang C. [1 ]
Shan G. [1 ]
Duan X. [1 ]
机构：
[1] Department of Electronic and Optical Engineering, Army Engineering Univ., Shijiazhuang
来源：
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2019年 / 46卷 / 02期
关键词：
Risk theory; Sensor management; The uncertainty; Threat level;
D O I：
10.19665/j.issn1001-2400.2019.02.016
中图分类号：
学科分类号：
摘要：
Due to the model error and the observation error, the inaccurate estimate of target threat exists when tracking targets. To solve the problem, minimizing the uncertainty of target threat is taken as the goal when managing sensors. Based on the Hidden Markov Model and risk theory, a sensor management model under the control of target threat level risk is proposed in this paper. A distributed optimization algorithm based on the multiple Agent theory is designed to get the optimal management scheme. Simulation experiments show that the model proposed in this paper can successfully solve the management problem in the case of insufficient sensor resources, and that by the algorithm in this paper perfect solutions can be obtained with a fast computational speed. © 2019, The Editorial Board of Journal of Xidian University. All right reserved.
引用
收藏
页码：95 / 100
页数：5
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