方位多脉冲互补的SAR抗间歇采样转发干扰低旁瓣波形与滤波器联合设计方法

钟鸣远 安洪阳 武俊杰 娄明悦 米彦松 陈绍桦 李中余 杨建宇

钟鸣远, 安洪阳, 武俊杰, 等. 方位多脉冲互补的SAR抗间歇采样转发干扰低旁瓣波形与滤波器联合设计方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR26123
引用本文: 钟鸣远, 安洪阳, 武俊杰, 等. 方位多脉冲互补的SAR抗间歇采样转发干扰低旁瓣波形与滤波器联合设计方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR26123
ZHONG Mingyuan, AN Hongyang, WU Junjie, et al. Azimuth multipulse complementary joint design for SAR anti-isrj and low sidelobe[J]. Journal of Radars, in press. doi: 10.12000/JR26123
Citation: ZHONG Mingyuan, AN Hongyang, WU Junjie, et al. Azimuth multipulse complementary joint design for SAR anti-isrj and low sidelobe[J]. Journal of Radars, in press. doi: 10.12000/JR26123

方位多脉冲互补的SAR抗间歇采样转发干扰低旁瓣波形与滤波器联合设计方法

DOI: 10.12000/JR26123 CSTR: 32380.14.JR26123
基金项目: 国家自然科学基金(62431008, 62471098),雷达探测感知全国重点实验室开放基金(2401074240410)
详细信息
    作者简介:

    钟鸣远,博士生,主要研究方向为合成孔径雷达波形设计等

    安洪阳,副教授,主要研究方向为SAR成像与抗干扰等

    武俊杰,教授,主要研究方向为双/多基SAR、智能化雷达成像等

    娄明悦,博士,主要研究方向为合成孔径雷达抗干扰等

    米彦松,硕士生,主要研究方向为盲信号处理、多源协同目标跟踪等

    陈绍桦,硕士生,主要研究方向为基于深度学习的合成孔径雷达波形设计等

    李中余,教授,主要研究方向为双/多基SAR运动目标检测与成像、外辐射源雷达探测与成像等

    杨建宇,教授,主要研究方向为前视雷达成像、双/多基SAR成像、新体制雷达探测与成像等

    通讯作者:

    安洪阳 anhongyanga@163.com

    武俊杰 junjie_wu@uestc.edu.cn

    责任主编:黄岩 Corresponding Editor: HUANG Yan

  • 中图分类号: TN958

Azimuth Multipulse Complementary Joint Design for SAR Anti-ISRJ and Low Sidelobe

Funds: The National Natural Science Foundation of China (62431008, 62471098) , The Foundation of National Key Laboratory of Radar Detection and Sensing (2401074240410)
More Information
  • 摘要: 针对合成孔径雷达(SAR)在抗间歇采样转发干扰(ISRJ)时,现有抗干扰波形成像旁瓣高的问题,该文提出利用SAR多脉冲积累成像所带来的方位自由度,通过多脉冲互补同时提升抗干扰与成像低旁瓣能力,首先构建了方位多脉冲互补模式下的SAR点扩展函数(PSF)信号模型,在此基础上,建立了以最大化干扰抑制性能与最小化PSF旁瓣水平为核心目标的非凸多目标联合优化模型。为求解该复杂非凸优化问题,该文设计了一种二维联合优化抗ISRJ互补波形算法。该算法采用交替迭代优化框架将原问题解耦为波形与滤波器两个子问题,通过闭式更新实现波形与滤波器的协同设计。实验结果表明,相较于现有传统单波形抗干扰方法的最优结果,该文所提方法将干扰积分电平比(JILR)和干扰峰值电平比(JPLR)分别提升了12.85 dB和3.83 dB,同时将积分旁瓣比(ISLR)和峰值旁瓣比(PSLR)改善了24.96 dB和11.40 dB。该文方法不仅显著提升了抗干扰性能,同时有效抑制了距离旁瓣与距离-方位耦合旁瓣,显著改善了复杂电磁干扰环境下的合成孔径雷达成像质量。

     

  • 图  1  机载SAR波形捷变模式观测几何示意图

    Figure  1.  Schematic diagram of observation geometry for airborne SAR waveform agility mode

    图  2  二维联合优化抗ISRJ互补波形与滤波器联合处理架构

    Figure  2.  Joint processing architecture of two-dimensional jointly optimized anti-ISRJ complementary waveforms and filters

    图  3  单个波形的性能

    Figure  3.  Performance of a single waveform

    图  4  不同方法干扰与滤波器的互相关函数对比

    Figure  4.  Comparison of cross-correlation functions between jamming and filters of different methods

    图  5  非相干积累验证的蒙特卡罗实验结果

    Figure  5.  Monte Carlo experiment results of non-coherent integration verification

    图  6  干扰机不同转发策略干扰与滤波器的互相关函数对比

    Figure  6.  Comparison of cross-correlation functions between jamming and filters under different jammer forwarding strategies

    图  7  不同方法波形与滤波器的互相关函数对比

    Figure  7.  Comparison of cross-correlation functions between waveforms and filters of different methods

    图  8  点扩展函数

    Figure  8.  Point spread function

    图  9  点阵目标场景抗ISRJ成像结果距离向剖面对比

    Figure  9.  Comparison of range profiles of anti-ISRJ imaging results in point array target scene

    图  10  扩展目标场景抗ISRJ二维成像结果对比

    Figure  10.  Comparison of 2D anti-ISRJ imaging results in extended target scene

    1  2D-JOCA

    1.   2D-JOCA

     输入:$ {\boldsymbol{X}}^{(0)} $,$ {\boldsymbol{H}}^{(0)} $,权重w, $ \varepsilon $, $ {\lambda }_{1} $, $ {\lambda }_{2} $, q,惩罚$ \rho _{m}^{(0)} $;
     输出:$ {\boldsymbol{X}}^{*} $, $ {\boldsymbol{H}}^{*} $;
     重复
     1:由式计算$ \boldsymbol{d}_{m}^{(i)} $,$ m=1,2\cdots ,M $;
     2:由式(28)构造MM上界$ {\mu }_{h} $;
     3:由式(31)更新$ \boldsymbol{h}_{m}^{(i+1)} $;
     4:更新滤波器$ \boldsymbol{H} $;
      重复
      5:由式计算$ \boldsymbol{z}_{m}^{(s,\ell)} $与$ {\mu }_{x} $;
      6:由式更新$ \boldsymbol{x}_{m}^{(s,\ell+1)} $;
      7:由式更新$ \boldsymbol{y}_{m}^{(s+1)} $;
      8:由式更新$ \boldsymbol{u}_{m}^{(s+1)} $;
      9:由式更新$ \rho _{m}^{(s+1)} $并裁剪$ \boldsymbol{u}_{m}^{(s+1)} $;
      10:$ s=s+1 $
      直到满足内层迭代次数
     11:更新波形$ {\boldsymbol{X}}^{(i+1)}\leftarrow {\boldsymbol{X}}^{(s+1)} $;
     12:$ i=i+1 $;
     直到满足停止条件。
    下载: 导出CSV

    表  1  机载SAR系统仿真参数

    Table  1.   Simulation parameters of airborne SAR system

    类型 数值 类型 数值
    平台高度 3000 m 码长 200
    载频 10 GHz 距离向采样点数 512
    带宽 300 MHz 方位脉冲数 512
    脉宽 0.5 μs 脉冲重复频率 500 Hz
    采样率 400 MHz 目标中心坐标 (5000 m, 0, 0)
    平台速度 150 m/s 干扰占空比 20%
    下载: 导出CSV

    表  2  抗ISRJ性能对比(dB)

    Table  2.   Comparison of anti-ISRJ performance (dB)

    算法 JILR JPLR
    RCG算法[21] –10.52 –23.50
    MM算法[22] –7.31 –24.34
    2D-JOCA算法(单个波形) –6.48 –23.29
    2D-JOCA算法(联合互补) –23.37 –28.17
    下载: 导出CSV

    表  3  波形性能对比(dB)

    Table  3.   Comparison of waveform performance (dB)

    算法 ISLR PSLR
    RCG算法[21] –11.68 –31.39
    MM算法[22] –6.04 –24.28
    2D-JOCA算法(单个波形) –8.34 –26.44
    2D-JOCA算法(联合互补) –36.64 –42.79
    下载: 导出CSV

    表  4  抗ISRJ成像性能对比

    Table  4.   Comparison of anti-ISRJ imaging performance

    方法 SSIM PSNR
    LFM无干扰 0.8340 31.94 dB
    LFM抗ISRJ 0.8304 31.60 dB
    RCG算法[21] 波形抗ISRJ 0.8221 31.30 dB
    MM算法[22] 波形抗ISRJ 0.7763 30.55 dB
    捷变波形抗ISRJ 0.8128 31.39 dB
    2D-JOCA算法波形抗ISRJ 0.8552 31.94 dB
    下载: 导出CSV
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  • 收稿日期:  2026-07-06
  • 修回日期:  2026-08-12

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