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多传感器协同跟踪与辐射控制的调度算法

乔成林 段修生 单甘霖

乔成林, 段修生, 单甘霖等 . 多传感器协同跟踪与辐射控制的调度算法[J]. 北京航空航天大学学报, 2018, 44(7): 1472-1480. doi: 10.13700/j.bh.1001-5965.2017.0555
引用本文: 乔成林, 段修生, 单甘霖等 . 多传感器协同跟踪与辐射控制的调度算法[J]. 北京航空航天大学学报, 2018, 44(7): 1472-1480. doi: 10.13700/j.bh.1001-5965.2017.0555
QIAO Chenglin, DUAN Xiusheng, SHAN Ganlinet al. Scheduling algorithm for multi-sensor collaboration tracking and radiation control[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(7): 1472-1480. doi: 10.13700/j.bh.1001-5965.2017.0555(in Chinese)
Citation: QIAO Chenglin, DUAN Xiusheng, SHAN Ganlinet al. Scheduling algorithm for multi-sensor collaboration tracking and radiation control[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(7): 1472-1480. doi: 10.13700/j.bh.1001-5965.2017.0555(in Chinese)

多传感器协同跟踪与辐射控制的调度算法

doi: 10.13700/j.bh.1001-5965.2017.0555
基金项目: 

国防预研基金 012015012600A2203

详细信息
    作者简介:

    乔成林  男, 博士研究生。主要研究方向:传感器管理、信息融合理论与应用

    段修生  男, 博士, 教授, 硕士生导师。主要研究方向:信息融合理论与应用、电子装备故障诊断等

    单甘霖  男, 博士, 教授, 博士生导师。主要研究方向:传感器管理、信息融合理论与应用、防空武器系统仿真与应用等

    通讯作者:

    段修生, E-mail:sjzdxsh@163.com

  • 中图分类号: TP212;V448.13

Scheduling algorithm for multi-sensor collaboration tracking and radiation control

Funds: 

National Defence Pre-research Foundation 012015012600A2203

More Information
  • 摘要:

    为了降低有源传感器在获得目标持续量测时被敌方截获的风险,提出一种多传感器协同跟踪与辐射控制的调度算法。该算法首先采用辐射度影响(ELI)衡量传感器辐射,将目标跟踪与辐射控制过程建立为部分可观马尔可夫决策(POMDP)过程。然后以隐马尔可夫模型(HMM)滤波器更新传感器辐射状态、推导长时辐射风险,以无迹卡尔曼滤波(UKF)更新目标状态、估计跟踪精度。最后考虑跟踪任务需求,构建精度约束下辐射控制的长时调度模型,并将该长时调度问题转化为决策树寻优问题,给出决策树节点次优下界值,采用改进分支定界技术(IB & B)快速求解最优调度序列。仿真结果验证了本文算法的有效性。

     

  • 图 1  有源传感器调度场景

    Figure 1.  Active sensor scheduling scenario

    图 2  决策树示意图(H=3, N=4)

    Figure 2.  An illustrative decision tree (H=3, N=4)

    图 3  不同搜索算法的节点打开占比

    Figure 3.  Percentage of opened node of different search algorithms

    图 4  不同决策步长下的最优累积辐射风险

    Figure 4.  Optimum cumulative radiation risk versus decision step

    图 5  不同阈值下的目标RMSE

    Figure 5.  Target RMSE of different thresholds

    图 6  不同策略下的累积辐射风险和累积ELI值

    Figure 6.  Cumulative radiation risk and cumulative ELI value of different policies

    图 7  不同时间下的累积辐射风险

    Figure 7.  Cumulative radiation risk versus time

    表  1  算法搜索性能对比

    Table  1.   Comparison of search performance among algorithms

    算法 H=2 H=3 H=4 H=5
    节点打开数(占比) 最大存储节点 节点打开数(占比) 最大存储节点 节点打开数(占比) 最大存储节点 节点打开数(占比) 最大存储节点
    ES 20 16 84 64 340 256 1 364 1 024
    UCS 17(85%) 4 69(82%) 16 240(70%) 64 856(63%) 251
    ε-UCS 17(85%) 4 62(74%) 16 177(52%) 64 533(39%) 251
    IB & B 9(45%) 4 19(23%) 12 36(11%) 28 73(5%) 66
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出版历程
  • 收稿日期:  2017-08-31
  • 录用日期:  2017-11-23
  • 刊出日期:  2018-07-20

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