雷达极化域变焦角反组合体对抗方法：抗冲淡式干扰

吴国庆; 王罗胜斌; 庞晨; 李永祯; 王雪松

doi:10.12263/DZXB.20220979

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雷达极化域变焦角反组合体对抗方法：抗冲淡式干扰

《电子学报》创刊60周年专栏 | 更新时间：2025-12-11

- 雷达极化域变焦角反组合体对抗方法：抗冲淡式干扰
- Radar Polarization Modulation Countermeasures for Combined Corner Reflector: Anti Diluted Jamming
- 电子学报 2022年50卷第12期页码：2969-2983
- 作者机构：
  
  国防科技大学电子科学学院电子信息系统复杂电磁环境效应国家重点实验室，湖南长沙 410073
- 作者简介：
  
  [ "吴国庆男，1997年8月出生于湖北省随州市.博士研究生.主要研究方向为雷达信号处理、雷达极化信息处理.E-mail: guoqing51001@163.com" ]
  [ "王罗胜斌男，1992年1月出生于江西省吉安市.现为国防科技大学电子科学学院讲师.主要研究方向为雷达系统、阵列信号处理和雷达信号处理.E-mail: wangluoshengbin@163.com" ]
  庞晨男，1986年10月出生于湖北省汉川市.现为国防科技大学电子科学学院副研究员.主要研究方向为极化相控阵雷达系统、极化精密测量.E-mail: tg20462046@163.com
  李永祯男，1977年12月出生于内蒙古化德县.现为国防科技大学电子科学学院研究员，博士生导师.主要研究方向为极化雷达信号处理、雷达电子对抗.E-mail: e0061@sina.com
  王雪松男，1972年10月出生于内蒙古包头市.现为国防科技大学电子科学学院教授，博士生导师，中国电子学会高级会员.主要研究方向为雷达极化信号处理、雷达电子战等.E-mail: wxs_1019@vip.sina.com
- 基金信息：
  
  国家自然科学基金(61625108)
- DOI：10.12263/DZXB.20220979
  中图分类号： TN958;
- 收稿：2022-08-24，
  
  修回：2022-11-16，
  
  纸质出版：2022-12-25
- 稿件说明：
移动端阅览
吴国庆,王罗胜斌,庞晨等.雷达极化域变焦角反组合体对抗方法：抗冲淡式干扰[J].电子学报,2022,50(12):2969-2983.

WU Guo-qing,WANG Luo-sheng-bin,PANG Chen,et al.Radar Polarization Modulation Countermeasures for Combined Corner Reflector: Anti Diluted Jamming[J].ACTA ELECTRONICA SINICA,2022,50(12):2969-2983.
吴国庆,王罗胜斌,庞晨等.雷达极化域变焦角反组合体对抗方法：抗冲淡式干扰[J].电子学报,2022,50(12):2969-2983. DOI： 10.12263/DZXB.20220979.

WU Guo-qing,WANG Luo-sheng-bin,PANG Chen,et al.Radar Polarization Modulation Countermeasures for Combined Corner Reflector: Anti Diluted Jamming[J].ACTA ELECTRONICA SINICA,2022,50(12):2969-2983. DOI： 10.12263/DZXB.20220979.

摘要

雷达导引头末制导阶段易被角反干扰诱偏，导致对海精确打击效能急剧下降，导引头抗角反干扰能力提升需求迫切.新型充气式角反覆盖频段广，散射截面积大，多个角反阵列排布可模拟类似于舰船的假目标，形成冲淡式干扰态势，需要对角反阵列进行辨识.常用的对抗手段包括一维距离像特征鉴别和极化分解特征鉴别，前者受限于空间几何关系，后者受限于极化测量精度，抗干扰效能皆有限.物理上，舰船为包含复杂结构的连续刚体，角反阵列为散射结构一致的多个离散点，两者回波的极化特性存在显著差异.本文从极化域变焦超分辨原理出发，建立了角反阵列和舰船的极化雷达信号模型，通过调控收发极化改变散射点的相干叠加效果，构建极化-距离二维图像并提取相关性特征参数表征目标差异，结合支持向量机提出角反阵列辨识算法，实现抗冲淡式角反干扰.仿真实验结果表明，所提算法角反鉴别性能鲁棒性强，可有效对抗冲淡式干扰，鉴别精度优于极化特征分解方法，在低信噪比条件下平均提升7.5%，在交叉极化隔离度高于-25 dB条件下平均提升27.3%.

Abstract

Under the stage of terminal guidance

radar seeker can be easily deflated by corner reflector

which will lead to the sharp decline of the precision attack efficiency on the sea. It is urgent to improve the capability of anti corner reflector jamming. The new inflatable corner reflector works in wide frequency band with large radar cross section. Proper assignment of corner reflector array can simulate false targets similar with ships and form diluted jamming. Therefore

corner reflector array should be distinguished from ships. The common countermeasure is to recognize corner reflectors with HRRP and polarization decomposition. However

the former is constrained by spatial geometry

while the latter is affected by the accuracy of polarization measurement

both of which have limited anti-jamming performance. Physically

ships are continuous rigid bodies containing complex structures

and corner reflectors arrays are discrete points with uniform structures. The polarization characteristics of their echoes has significant difference. In this paper

based on the principle of polarization modulation technology

the signal models of corner reflector arrays and ships are established. With modulating the transmitting and receiving polarization

the coherent superposition effect among scatters is changed. The polarization-range 2D image is established and the correlation characteristic parameters are extracted to characteristic target’s difference. Finally

combined with support vector machine

a corner reflector array recognition method is proposed. The results of simulation experiments show that proposed method has stable recognition performance and can effectively combat the diluting jamming. Compared with polarization decomposition method

the recognition accuracy of proposed algorithm improves 7.5% under the low SNR condition

while improves 27.3% when the cross-polarization isolation is higher than -25 dB.

关键词

Keywords

references

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