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雷达与电子支援措施异步抗差航迹关联算法

衣晓 杜金鹏

衣晓, 杜金鹏. 雷达与电子支援措施异步抗差航迹关联算法[J]. 电子与信息学报, 2021, 43(7): 1947-1953. doi: 10.11999/JEIT200250
引用本文: 衣晓, 杜金鹏. 雷达与电子支援措施异步抗差航迹关联算法[J]. 电子与信息学报, 2021, 43(7): 1947-1953. doi: 10.11999/JEIT200250
Xiao YI, Jinpeng DU. Asynchronous Anti-bias Track Association Algorithm of Radar and Electronic Support Measurements[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1947-1953. doi: 10.11999/JEIT200250
Citation: Xiao YI, Jinpeng DU. Asynchronous Anti-bias Track Association Algorithm of Radar and Electronic Support Measurements[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1947-1953. doi: 10.11999/JEIT200250

雷达与电子支援措施异步抗差航迹关联算法

doi: 10.11999/JEIT200250
基金项目: 国防科技卓越青年人才基金(2017-JCJQ-ZQ-003),泰山学者工程专项经费(ts201712072)
详细信息
    作者简介:

    衣晓:男,1976年生,教授,博士生导师,研究方向为无线传感器网络、多源信息融合

    杜金鹏:男,1995年生,硕士生,研究方向为数据关联

    通讯作者:

    杜金鹏 jpdu_1409@163.com

  • 中图分类号: TN953; V271.4

Asynchronous Anti-bias Track Association Algorithm of Radar and Electronic Support Measurements

Funds: The Excellent Youth Scholar of the National Defense Science and Technology Foundation of China (2017-JCJQ-ZQ-003), The Special Fund for the Taishan Scholar Project (ts201712072)
  • 摘要: 针对雷达与电子支援措施(ESM)存在系统误差、航迹异步等复杂条件下的航迹关联问题,该文提出一种基于区间序列离散度的异步抗差航迹关联算法。定义混合区间序列的离散信息度量,给出系统误差的区间化方法,通过计算区间离散度并利用经典分配法进行关联判定。与传统算法相比,可在系统误差存在的前提下无需时域配准对异步航迹直接关联,且对噪声分布不敏感。仿真结果表明,所提算法具有良好的抗差性且不受目标运动位置的影响,适用于传感器同地或异地配置等多种情况。
  • 图  1  系统误差示意图

    图  2  算法流程图

    图  3  方位角量测误差下的正确关联率对比

    图  4  不同采样率之比下的正确关联率对比

    图  5  不同目标数目时的正确关联率对比

    图  6  正确关联率随目标运动位置的变化

    表  1  雷达与ESM最大系统误差取值表

    实验编号123456
    $\Delta \theta _{\rm{m}}^s(^\circ )$0.50.51.01.50.50.5
    $\Delta \theta _{\rm{m}}^w(^\circ )$0.50.50.50.51.01.5
    $\Delta \rho _{\rm{m}}^s({\rm{m)}}$5001000500500500500
    下载: 导出CSV

    表  2  不同系统误差下的算法关联率对比

    实验编号本文算法文献[9]算法文献[13]算法文献[14]算法
    EcEeEsEcEeEsEcEeEsEcEeEs
    10.9370.0560.0070.7430.0750.1820.9360.0280.0360.8660.0230.111
    20.9320.0600.0080.6980.0490.2530.9350.0330.0320.8580.0240.118
    30.9140.0540.0320.5040.1750.3210.9000.0440.0560.8170.0780.105
    40.8920.0560.0520.4450.2430.3120.8810.0580.0610.7720.0260.202
    50.9440.0470.0090.5060.0900.4040.9370.0230.0400.8400.0480.112
    60.9330.0560.0110.4560.2340.3100.9250.0380.0370.7870.0510.162
    下载: 导出CSV

    表  3  不同目标运动模型下的正确关联率

    目标运动模型匀速直线运动匀加速直线运动变加速直线运动匀速圆周运动
    正确关联率0.9310.9280.9230.917
    下载: 导出CSV

    表  4  不同采样周期和开机时延的正确关联率

    ESM开机时延(s)雷达,ESM采样周期(时间间隔)(s)
    t1=0.1,t2=0.3t1=0.3,t2=0.5t1=0.5,t2=1.1
    Δt=0.10.9130.9130.834
    Δt=0.20.9220.8910.844
    Δt=0.30.9280.8900.820
    Δt=0.40.9270.8810.831
    下载: 导出CSV

    表  5  不同噪声分布的正确关联率

    噪声分布形式高斯分布瑞利分布指数分布均匀分布
    正确关联率0.9260.9200.9140.934
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-04-07
  • 修回日期:  2020-11-01
  • 网络出版日期:  2020-12-09
  • 刊出日期:  2021-07-10

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