1. 军械工程学院电子与光学工程系,河北,石家庄,050003
2. 北京航天飞控中心,北京,100094
3. 军械工程学院电子与光学工程系,河北,石家庄,050003
4. 北京航天飞控中心,北京,100094
纸质出版:2014
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张子宁, 单甘霖, 段修生. 基于部分可观马氏决策过程的多平台主被动传感器调度[J]. 电子学报, 2014,42(10):2104-2109.
ZHANG Zi-ning, SHAN Gan-lin, DUAN Xiu-sheng. POMDP-Based Scheduling of Active/Passive Sensors in Multi-Platform[J]. Acta Electronica Sinica, 2014, 42(10): 2104-2109.
张子宁, 单甘霖, 段修生. 基于部分可观马氏决策过程的多平台主被动传感器调度[J]. 电子学报, 2014,42(10):2104-2109. DOI: 10.3969/j.issn.0372-2112.2014.10.037.
ZHANG Zi-ning, SHAN Gan-lin, DUAN Xiu-sheng. POMDP-Based Scheduling of Active/Passive Sensors in Multi-Platform[J]. Acta Electronica Sinica, 2014, 42(10): 2104-2109. DOI: 10.3969/j.issn.0372-2112.2014.10.037.
为了使有限时域内的跟踪精度和辐射风险达到最佳平衡
本文研究了多传感器平台在协同跟踪目标时的主被动传感器调度问题.将该问题建立成基于部分可观马氏决策过程的数学模型以同步实现目标跟踪和辐射控制.在先见优化思想的基础上
借助由无迹采样近似得到的精度收益及由隐马氏模型滤波器推导出的辐射代价将调度问题转化成决策树问题
并采用分枝定界方法求解.仿真结果表明了该方法的有效性.
To make an optimal trade-off between the tracking accuracy and the radiation risk in a period of time
this paper studies the scheduling problem of selecting the active/passive sensors in the multi-platform for target tracking.The problem is formulated as a partially observable Markov decision process (POMDP)
which can take both target tracking and emission control into account.Based on the foresight optimization
the approximate accuracy reward and the radiation cost
which are derived from the unscented transformation sampling and hidden Markov model (HMM) filter respectively
transform our problem into a tree search problem
and the branch and bound method is used for problem solution.The simulation results demonstrate the effectiveness of our approach.
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