中段弹道目标分离过程动态散射特性分析

赵锋 徐志明 吴其华 艾小锋

赵锋, 徐志明, 吴其华, 等. 中段弹道目标分离过程动态散射特性分析[J]. 雷达学报, 2021, 10(3): 360–369. doi: 10.12000/JR21047
引用本文: 赵锋, 徐志明, 吴其华, 等. 中段弹道目标分离过程动态散射特性分析[J]. 雷达学报, 2021, 10(3): 360–369. doi: 10.12000/JR21047
ZHAO Feng, XU Zhiming, WU Qihua, et al. Dynamic scattering analysis of midcourse ballistic targets with separation movements[J]. Journal of Radars, 2021, 10(3): 360–369. doi: 10.12000/JR21047
Citation: ZHAO Feng, XU Zhiming, WU Qihua, et al. Dynamic scattering analysis of midcourse ballistic targets with separation movements[J]. Journal of Radars, 2021, 10(3): 360–369. doi: 10.12000/JR21047

中段弹道目标分离过程动态散射特性分析

doi: 10.12000/JR21047
基金项目: 国家自然科学基金(62071475, 61890541, 61890542, 62001481)
详细信息
    作者简介:

    赵锋:赵 锋(1978–),男,江苏南京人,教授。主要研究方向为电子信息系统仿真建模评估

    徐志明(1995–),男,山东潍坊人,在读博士研究生。主要研究方向为双基地雷达目标特性与特征提取、目标识别

    吴其华(1990–),男,江苏盐城人,讲师。主要研究方向为雷达成像与电子信息系统仿真建模评估

    艾小锋(1983–),男,四川安岳人,副研究员。主要研究方向为双基地雷达成像、特征提取

    通讯作者:

    赵锋 zhfbee@tom.com

    徐志明 zhimingxu@nudt.edu.cn

  • 责任主编:冯存前 Corresponding Editor: FENG Cunqian
  • 中图分类号: TN955

Dynamic Scattering Analysis of Midcourse Ballistic Targets with Separation Movements

Funds: The National Natural Science Foundation of China (62071475, 61890541, 61890542, 62001481)
More Information
  • 摘要: 中段弹道目标会发生释放弹头、抛洒诱饵等多种形式的目标分离事件。在目标分离的前期,多目标之间距离较近,存在电磁耦合现象,诱发目标雷达散射截面积、极化等维度的电磁特征变化。准确地捕获这些变化就能辅助雷达进行资源调度,提高预警雷达对弹道目标的跟踪和识别能力。该文对中段弹道目标3种分离方式的动态散射特性进行了深入分析,在此基础上提出了可以判断目标分离事件发生的特征量,促进弹道目标行为辨识的发展。

     

  • 图  1  中段弹道目标动态分离过程示意图

    Figure  1.  Diagram of dynamic separation movement for mid-course ballistic targets

    图  2  中段弹道目标结构示意图

    Figure  2.  Structure of mid-course ballistic targets

    图  3  锥柱组合体目标3种分离方式示意图(纸面代表图2中的xOz平面)

    Figure  3.  Three types of separation movements for cone-cylinder-shaped ballistic targets (xOz plane in Fig. 2 coincides with the paper)

    图  4  锥柱组合体分离方式A动态RCS分布

    Figure  4.  Dynamic RCS distribution of cone-cylinder-shaped targets with separation movement A

    图  5  锥柱组合体分离方式B动态RCS分布

    Figure  5.  Dynamic RCS distribution of cone-cylinder-shaped targets with separation movement B

    图  6  锥柱组合体分离方式C动态RCS分布

    Figure  6.  Dynamic RCS distribution of cone-cylinder-shaped targets with separation movement C

    图  7  锥柱组合体RCS均值随着目标分离的变化

    Figure  7.  Mean variation of RCS for cone-cylinder-shaped targets with separation movements

    图  8  锥柱组合体极化比(SHH/SVH)随着目标分离的变化

    Figure  8.  Polarization ratio variation of cone-cylinder-shaped targets with separation movements

    图  9  锥柱组合体特征角随着目标分离的变化

    Figure  9.  Characterization angle variation of cone-cylinder-shaped targets with separation movements

    图  10  锥柱组合体对称角随着目标分离的变化

    Figure  10.  Symmetry angle variation of cone-cylinder-shaped targets with separation movement

    图  11  锥柱组合体RCS随着目标分离的变化(θ=15°)

    Figure  11.  RCS variation of cone-cylinder-shaped targets with separation movements (θ=15°)

    图  12  锥柱组合体极化比随着目标分离的变化(θ=15°)

    Figure  12.  Polarization ratio variation of cone-cylinder-shaped targets with separation movements (θ=15°)

    图  13  锥柱组合体特征角随着目标分离的变化(θ=15°)

    Figure  13.  Characterization angle variation of cone-cylinder-shaped targets with separation movements (θ=15°)

    图  14  锥柱组合体对称角随着目标分离的变化(θ=15°)

    Figure  14.  Symmetry angle variation of cone-cylinder-shaped targets with separation movements (θ=15°)

    表  1  空间目标分离事件特征的定量化表征

    Table  1.   Separation accident features characterization for space targets

    特征值RCS极化比特征角对称角
    ABCABCABCABC
    均值–10.12–6.25–9.0159.8163.1221.9336.4234.6836.9800–0.18
    极差15.6325.8827.0833.2430.5444.1029.6941.7141.3701.5545.25
    标准差3.264.784.145.866.216.676.7710.338.0900.113.82
    变异系数–0.32–0.76–0.460.100.100.300.190.300.22–2.7714.51–21.75
    平滑度0.910.960.940.970.970.980.980.990.9800.0110.94
    偏度系数–0.631.091.690.360.690.33–1.29–1.07–1.56–6.1714.06–3.85
    峰度系数2.974.558.273.033.044.644.213.115.5848.68198.8132.27
    下载: 导出CSV

    表  2  不同分离方式之间的隔离度

    Table  2.   Isolation measurement between separation movements characterization features

    组合A, BA, CB, C
    RCS隔离度0.33460.28820.1437
    极化比隔离度0.05660.59170.6445
    特征角隔离度0.19770.15530.0708
    对称角隔离度0.23470.93620.9893
    下载: 导出CSV
  • [1] AI Xiaofeng, XU Zhiming, WU Qihua, et al. Parametric representation and application of micro-doppler characteristics for cone-shaped space targets[J]. IEEE Sensors Journal, 2019, 19(24): 11839–11849. doi: 10.1109/JSEN.2019.2937995
    [2] PERSICO A R, CLEMENTE C, GAGLIONE D, et al. On model, algorithms, and experiment for micro-Doppler-based recognition of ballistic targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2017, 53(3): 1088–1108. doi: 10.1109/TAES.2017.2665258
    [3] 靳俊峰, 曾怡, 廖圣龙. 弹道导弹群目标跟踪分裂算法研究[J]. 雷达科学与技术, 2020, 18(3): 321–326. doi: 10.3969/j.issn.1672-2337.2020.03.014

    JIN Junfeng, ZENG Yi, and LIAO Shenglong. Group target splitting algorithm for ballistic missile target tracking[J]. Radar Science and Technology, 2020, 18(3): 321–326. doi: 10.3969/j.issn.1672-2337.2020.03.014
    [4] 修建娟, 韩蕾蕾, 董凯, 等. 空间密集群目标关联与跟踪算法研究[J]. 火力与指挥控制, 2020, 45(8): 51–56. doi: 10.3969/j.issn.1002-0640.2020.08.008

    XIU Jianjuan, HAN Leilei, DONG Kai, et al. Study on correlation and tracking algorithm of space dense group targets[J]. Fire Control &Command Control, 2020, 45(8): 51–56. doi: 10.3969/j.issn.1002-0640.2020.08.008
    [5] CHEN Jian, XU Shiyou, and CHEN Zengping. Convolutional neural network for classifying space target of the same shape by using RCS time series[J]. IET Radar, Sonar & Navigation, 2018, 12(11): 1268–1275. doi: 10.1049/iet-rsn.2018.5237
    [6] XU Zhiming, AI Xiaofeng, WU Qihua, et al. Micro-Doppler characteristics of streamlined ballistic target[J]. Electronics Letters, 2019, 55(3): 149–151. doi: 10.1049/el.2018.7251
    [7] 向前, 王晓丹, 李睿, 等. 基于DCNN的弹道中段目标HRRP图像识别[J]. 系统工程与电子技术, 2020, 42(11): 2426–2433. doi: 10.3969/j.issn.1001-506X.2020.11.03

    XIANG Qian, WANG Xiaodan, LI Rui, et al. HRRP image recognition of midcourse ballistic targets based on DCNN[J]. Systems Engineering and Electronics, 2020, 42(11): 2426–2433. doi: 10.3969/j.issn.1001-506X.2020.11.03
    [8] WANG Tao, WANG Xuesong, CHANG Yuliang, et al. Estimation of precession parameters and generation of ISAR images of ballistic missile targets[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(4): 1983–1995. doi: 10.1109/TAES.2010.5595608
    [9] 张胜峰, 马超, 朱新国, 等. 弹道目标宽带极化特征提取分析[J]. 现代雷达, 2020, 42(1): 45–50. doi: 10.16592/j.cnki.1004-7859.2020.01.010

    ZHANG Shengfeng, MA Chao, ZHU Xinguo, et al. Wideband polarization feature extraction of ballistic targets[J]. Modern Radar, 2020, 42(1): 45–50. doi: 10.16592/j.cnki.1004-7859.2020.01.010
    [10] ZHAO Mengmeng, ZHANG Qun, LUO Ying, et al. Micromotion feature extraction and distinguishing of space group targets[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(2): 174–178. doi: 10.1109/LGRS.2016.2633426
    [11] 赵盟盟, 张群, 陈怡君, 等. 一种用于空间群目标分辨的滑动窗轨迹跟踪算法[J]. 宇航学报, 2015, 36(10): 1187–1194. doi: 10.3873/j.issn.1000-1328.2015.10.013

    ZHAO Mengmeng, ZHANG Qun, CHEN Yijun, et al. A sliding window tracking algorithm for distinguishing space group targets[J]. Journal of Astronautics, 2015, 36(10): 1187–1194. doi: 10.3873/j.issn.1000-1328.2015.10.013
    [12] 邵长宇, 杜兰, 李飞, 等. 基于多目标跟踪的空间锥体目标微多普勒频率提取方法[J]. 电子与信息学报, 2012, 34(12): 2972–2977. doi: 10.3724/SP.J.1146.2012.00656

    SHAO Changyu, DU Lan, LI Fei, et al. Micro-doppler extraction from space cone target based on multiple target tracking[J]. Journal of Electronics &Information Technology, 2012, 34(12): 2972–2977. doi: 10.3724/SP.J.1146.2012.00656
    [13] 陈帅, 冯存前, 张蓉. 基于离散正弦调频变换的中段多微动目标分离[J]. 北京航空航天大学学报, 2020, 46(2): 371–378. doi: 10.13700/j.bh.1001-5965.2019.0128

    CHEN Shuai, FENG Cunqian, and ZHANG Rong. Separation of midcourse multiple micro-motion targets based on DSFMT[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(2): 371–378. doi: 10.13700/j.bh.1001-5965.2019.0128
    [14] 陈帅, 冯存前, 李晓华. 基于时频图像背景差分的中段多弹道目标分离[J]. 弹箭与制导学报, 2019, 39(6): 66–70. doi: 10.15892/j.cnki.djzdxb.2019.06.015

    CHEN Shuai, FENG Cunqian, and LI Xiaohua. Separation of multiple ballistic targetsin midcourse based on background difference of time-frequency images[J]. Journal of Projectiles,Rockets,Missiles and Guidance, 2019, 39(6): 66–70. doi: 10.15892/j.cnki.djzdxb.2019.06.015
    [15] 陈帅, 冯存前, 许旭光. 基于Viterbi算法和ROMP的多弹道目标分离与特征提取[J]. 火力与指挥控制, 2020, 45(3): 22–27. doi: 10.3969/j.issn.1002-0640.2020.03.004

    CHEN Shuai, FENG Cunqian, and XU Xuguang. Multi-ballistic target separation and feature extraction based on viterbi and ROMP algorithm[J]. Fire Control &Command Control, 2020, 45(3): 22–27. doi: 10.3969/j.issn.1002-0640.2020.03.004
    [16] 贺思三, 赵会宁, 张永顺. 基于时频域联合滤波的中段群目标信号分离[J]. 雷达学报, 2015, 4(5): 545–551. doi: 10.12000/JR15008

    HE Sisan, ZHAO Huining, and ZHANG Yongshun. Signal separation for target group in midcourse based on time-frequency filtering[J]. Journal of Radars, 2015, 4(5): 545–551. doi: 10.12000/JR15008
    [17] 涂世杰, 陈航. 反导系统对弹道群目标分离识别仿真[J]. 计算机仿真, 2017, 34(4): 61–65. doi: 10.3969/j.issn.1006-9348.2017.04.013

    TU Shijie and CHEN Hang. Simulation of ballistic target group separation and identification in anti-missile system[J]. Computer Simulation, 2017, 34(4): 61–65. doi: 10.3969/j.issn.1006-9348.2017.04.013
    [18] 张俊, 胡生亮, 杨庆, 等. 浮空式角反射体RCS统计特征及识别模型研究[J]. 系统工程与电子技术, 2019, 41(4): 780–786. doi: 10.3969/j.issn.1001-506X.2019.04.12

    ZHANG Jun, HU Shengliang, YANG Qing, et al. RCS statistical features and recognition model of air-floating corner reflector[J]. Systems Engineering and Electronics, 2019, 41(4): 780–786. doi: 10.3969/j.issn.1001-506X.2019.04.12
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出版历程
  • 收稿日期:  2021-04-12
  • 修回日期:  2021-06-01
  • 网络出版日期:  2021-06-18
  • 刊出日期:  2021-06-28

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