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基于IFA-HFS的雷达波形域LPI性能评估方法

杨诚修 王谦喆 彭卫东 李寰宇 裴少婷

杨诚修, 王谦喆, 彭卫东, 等 . 基于IFA-HFS的雷达波形域LPI性能评估方法[J]. 北京航空航天大学学报, 2020, 46(8): 1574-1581. doi: 10.13700/j.bh.1001-5965.2019.0507
引用本文: 杨诚修, 王谦喆, 彭卫东, 等 . 基于IFA-HFS的雷达波形域LPI性能评估方法[J]. 北京航空航天大学学报, 2020, 46(8): 1574-1581. doi: 10.13700/j.bh.1001-5965.2019.0507
YANG Chengxiu, WANG Qianzhe, PENG Weidong, et al. Radar LPI performance evaluation method for waveform domain based on IFA-HFS[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1574-1581. doi: 10.13700/j.bh.1001-5965.2019.0507(in Chinese)
Citation: YANG Chengxiu, WANG Qianzhe, PENG Weidong, et al. Radar LPI performance evaluation method for waveform domain based on IFA-HFS[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(8): 1574-1581. doi: 10.13700/j.bh.1001-5965.2019.0507(in Chinese)

基于IFA-HFS的雷达波形域LPI性能评估方法

doi: 10.13700/j.bh.1001-5965.2019.0507
基金项目: 

国家自然科学基金 61773197

详细信息
    作者简介:

    杨诚修  男, 硕士研究生。主要研究方向:电子综合化工程

    王谦喆  男, 硕士, 副教授, 硕士生导师。主要研究方向:电子综合化技术

    彭卫东  男, 博士, 教授, 研究生导师。主要研究方向:信号处理

    通讯作者:

    王谦喆. E-mail:afeu_wqz@163.com

  • 中图分类号: TN955

Radar LPI performance evaluation method for waveform domain based on IFA-HFS

Funds: 

National Natural Science Foundation of China 61773197

More Information
  • 摘要:

    针对雷达波形域低截获(LPI)性能评估的问题,提出一种应用改进萤火虫算法(IFA)求解指标权重的犹豫模糊集(HFS)评估方法。首先,介绍基于逼近理想解排序(TOPSIS)的犹豫模糊集理论,并从属性和方案2个角度构建指标权重的优化模型;其次,通过引入混沌理论,解决了萤火虫算法容易陷入局部最优的问题,给出用IFA求解指标权重的流程;再次,从雷达发射方角度,提取脉内、脉间5个波形域LPI性能评估指标;最后,得到利用IFA求解指标权重的犹豫模糊集评估方法。选取4种不同类型的雷达进行仿真对比,获得波形域LPI性能排序,验证了方法的快速性和有效性。

     

  • 图 1  利用IFA求解指标权重流程图

    Figure 1.  Flowchart of solving indicator weight by IFA

    图 2  波形域评估指标结构

    Figure 2.  Structure of waveform domain evaluation indicator

    图 3  LFM信号脉内信息

    Figure 3.  LFM signal inter-pulse information

    图 4  二相编码信号脉内信息

    Figure 4.  Two-phase coded signal inter-pulse information

    图 5  IFA优化指标权重的迭代过程

    Figure 5.  Iterative process of indicator weights optimized by IFA

    表  1  雷达波形域基本参数

    Table  1.   Basic radar waveform parameters

    雷达型号 AN/APQ-7 AN/APG-66 AN/ASG-14 AN/APS-10
    名称 机载轰炸瞄准雷达 火力控制雷达 搜索测距雷达 机载搜索雷达
    波段 X X X X
    体制 脉冲 脉冲多普勒或顺序波瓣转换 脉冲 脉冲
    脉冲重复频率/Hz 400, 800, 1 600 900 1 000±25 405, 810
    脉冲宽度/μs 0.75, 0.4, 2 0.85 1, 0.5 0.8, 2.2
    下载: 导出CSV

    表  2  犹豫模糊决策矩阵

    Table  2.   Hesitant fuzzy decision matrix

    雷达型号 C1 C2 C3 C4 C5
    AN/APQ-7 [0.8, 0.5, 0.4, 0.3, 0.1] [0.9, 0.4, 0.1] [0.3, 0.2, 0.1] [0.6, 0.3] [0.9, 0.7, 0.6]
    AN/APG-66 [0.8, 0.7, 0.6, 0.1] [0.6, 0.5, 0.4] [0.8, 0.7, 0.6, 0.5, 0.3] [0.4, 0.3] [0.8, 0.7, 0.6, 0.4]
    AN/ASG-14 [0.8, 0.7, 0.2, 0.1] [0.9, 0.7, 0.6, 0.5] [0.8, 0.7, 0.6, 0.4, 0.1] [0.9, 0.8, 0.6, 0.5] [0.5, 0.3]
    AN/APS-10 [0.5, 0.4] [0.8, 0.7, 0.6, 0.4] [0.8, 0.2, 0.1] [0.9, 0.8, 0.7, 0.6, 0.4] [0.5, 0.4, 0.3, 0.1]
    下载: 导出CSV

    表  3  规范化犹豫模糊决策矩阵

    Table  3.   Normalized hesitant fuzzy decision matrix

    方案 C1 C2 C3 C4 C5
    A1 [0.9, 0.7, 0.6, 0.5, 0.2] [0.9, 0.6, 0.1, 0.1, 0.1] [0.3, 0.2, 0.1, 0.1, 0.1] [0.6, 0.3, 0.3, 0.3, 0.3] [0.9, 0.7, 0.6, 0.6, 0.6]
    A2 [0.9, 0.4, 0.3, 0.2, 0.2] [0.6, 0.5, 0.4, 0.4, 0.4] [0.8, 0.7, 0.6, 0.5, 0.3] [0.4, 0.3, 0.3, 0.3, 0.3] [0.8, 0.7, 0.6, 0.4, 0.4]
    A3 [0.9, 0.8, 0.3, 0.2, 0.2] [0.5, 0.4, 0.3, 0.1, 0.1] [0.8, 0.7, 0.6, 0.4, 0.1] [0.9, 0.8, 0.6, 0.5, 0.5] [0.5, 0.3, 0.3, 0.3, 0.3]
    A4 [0.6, 0.5, 0.5, 0.5, 0.5] [0.6, 0.4, 0.3, 0.2, 0.2] [0.8, 0.2, 0.1, 0.1, 0.1] [0.9, 0.8, 0.7, 0.6, 0.4] [0.5, 0.4, 0.3, 0.1, 0.1]
    下载: 导出CSV

    表  4  不同模型参数下的最优属性权重

    Table  4.   Optimal attribute weights under different model parameters

    模型中的参数(a, b) [ω1, ω2, ω3, ω4, ω5]
    a=1, b=0(M1) [0.217 3, 0.232 7, 0.183 3, 0.172 8, 0.193 9]
    a=0.7, b=0.3(M3) [0.228 7, 0.211 3, 0.194 2, 0.186 7, 0.179 1]
    a=0.5, b=0.5(M3) [0.201 6, 0.218 4, 0.187 6, 0.196 1, 0.196 3]
    a=0.3, b=0.7(M3) [0.213 9, 0.196 1, 0.203 8, 0.189 5, 0.196 7]
    a=0, b=1(M2) [0.210 3, 0.189 7, 0.204 9, 0.197 4, 0.197 7]
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-09-16
  • 录用日期:  2019-12-20
  • 刊出日期:  2020-08-20

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