双基SAR空时自适应ANM-ADMM-Net杂波抑制技术

李中余 皮浩卓 李俊奥 杨青 武俊杰 杨建宇

李中余, 皮浩卓, 李俊奥, 等. 双基SAR空时自适应ANM-ADMM-Net杂波抑制技术[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR24032
引用本文: 李中余, 皮浩卓, 李俊奥, 等. 双基SAR空时自适应ANM-ADMM-Net杂波抑制技术[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR24032
LI Zhongyu, PI Haozhuo, LI Jun’ao, et al. Clutter suppression technology based space-time adaptiveANM-ADMM-Net for bistatic SAR[J]. Journal of Radars, in press. doi: 10.12000/JR24032
Citation: LI Zhongyu, PI Haozhuo, LI Jun’ao, et al. Clutter suppression technology based space-time adaptiveANM-ADMM-Net for bistatic SAR[J]. Journal of Radars, in press. doi: 10.12000/JR24032

双基SAR空时自适应ANM-ADMM-Net杂波抑制技术

doi: 10.12000/JR24032
基金项目: 国家自然科学基金(62171084),衢州市财政资助科研项目(2022D014)
详细信息
    作者简介:

    李中余,博士,教授,主要研究方向为双/多基雷达舰船目标检测与成像技术、新体制雷达探测与成像技术等

    皮浩卓,硕士生,主要研究方向为双基SAR杂波抑制方向

    李俊奥,博士生,主要研究方向为合成孔径雷达与动目标成像

    杨 青,博士生,主要研究方向为双基合成孔径雷达舰船目标检测与成像技术

    武俊杰,博士,教授,主要研究方向为前视SAR成像技术、双/多基合成孔径雷达、雷达信号处理等

    杨建宇,博士,教授,主要研究方向为新体制雷达成像技术、雷达信号处理、合成孔径雷达成像等

    通讯作者:

    李中余 zhongyu_li@uestc.edu.cn

    皮浩卓 pihaozhuo_uestc@163.com

  • 责任主编:朱岱寅 Corresponding Editor: ZHU Daiyin
  • 中图分类号: TN951

Clutter Suppression Technology Based Space-time Adaptive ANM-ADMM-Net for Bistatic SAR

Funds: The National Natural Science Foundation of China (62171084), The Municipal Government of Quzhou (2022D014)
More Information
  • 摘要: 双基合成孔径雷达(BiSAR)在实现对地面运动目标检测和成像时,需要抑制地面背景杂波。然而由于双基SAR收发分置的空间构型,会导致主瓣杂波出现严重的空时非平稳问题,从而恶化杂波抑制性能。基于稀疏恢复空时自适应处理方法(SR-STAP)虽然可以通过降低样本数量减少非平稳的影响,但是在处理过程中会出现字典离网问题,从而导致空时谱估计效果下降。并且大部分现有的典型SR-STAP方法虽然具有明确的数学关系和可解释性,但在针对复杂、多变场景时,也存在参数设置不恰当、运算复杂等问题。为解决上述一系列问题,该文提出了一种适用于双基SAR空时自适应杂波抑制处理的基于交替方向乘子法(ADMM)的复值神经网络ANM-ADMM-Net。首先,基于原子范数最小化(ANM)构建双基SAR连续空时域下杂波谱的稀疏恢复模型,克服传统离散字典模型下的离网问题;其次,采取ADMM对该双基SAR杂波谱稀疏恢复模型进行快速迭代求解;然后,根据迭代流程和数据流图进行网络化处理,将人工超参数迭代过程转换为网络可学习的ANM-ADMM-Net;再次,设置归一化均方根误差网络损失函数,并利用获取的数据集对网络模型进行训练;最后,利用训练后的ANM-ADMM-Net网络架构对双基SAR回波数据进行快速迭代处理,从而完成双基SAR杂波空时谱的精确估计和高效抑制。该文通过仿真试验和实测数据处理,表明该方法具有更好的杂波抑制性能和更加高效的运算效率。

     

  • 图  1  双基SAR几何构型

    Figure  1.  Geometry configuration of Bistatic SAR

    图  2  单/双基SAR杂波空时特性对比

    Figure  2.  Comparison of clutter characteristics in monostatic/bistatic SAR

    图  3  双基SAR空时谱

    Figure  3.  Bistatic SAR space-time clutter power spectrum

    图  4  离散空时域估计

    Figure  4.  Discrete space-time time domain estimation

    图  5  ANM-ADMM-Net数据流图

    Figure  5.  Data flow graph of ANM-ADMM-Net

    图  6  数据重构层

    Figure  6.  Data reconstruction layer

    图  7  非线性变换层

    Figure  7.  Nonlinear transform layer

    图  8  训练样本选取

    Figure  8.  Training sample selection

    图  9  计算复杂度分析

    Figure  9.  Computational complexity analysis

    图  10  不同算法空时谱估计结果

    Figure  10.  Monostatic/Bistatic SAR space-time clutter power spectrum

    图  11  不同算法SCNR损失

    Figure  11.  comparison of SCNR loss of different algorithms

    图  12  杂波抑制前数据结果

    Figure  12.  Data results before clutter suppression

    图  13  回波域杂波抑制结果

    Figure  13.  Clutter suppression results in echo domain

    图  14  图像域杂波抑制结果

    Figure  14.  Clutter suppression results in image domain

    图  15  不同方法杂波抑制对比

    Figure  15.  Results of suppression by different methods

    图  16  机载双基前视SAR飞行示意图

    Figure  16.  Airborne forward looking BiSAR flight diagram

    图  17  飞行实验处理结果

    Figure  17.  Airborne forward looking BiSAR flight diagram

    图  18  图像域杂波抑制结果

    Figure  18.  Clutter suppression results in image domain

    表  1  不同算法的计算复杂度

    Table  1.   Computational complexity of different algorithms

    算法 计算复杂度
    ANM-CVX-STAP $O({({L^2} + (2M - 1)(2N - 1) + MNL)^2}{(L + MN)^{2.5}})$
    FOUCSS-STAP $O(NM{N_{\text{s}}}{M_{\text{d}}} + {(NM)^3} + 2{(NM)^2}{N_{\text{s}}}{M_{\text{d}}} + NM{({N_{\text{s}}}{M_{\text{d}}})^2})$
    SBL-STAP $O(NM{N_{\text{s}}}{M_{\text{d}}} + {(NM)^3} + 3{(NM)^2}{N_{\text{s}}}{M_{\text{d}}} + 2NM{({N_{\text{s}}}{M_{\text{d}}})^2})$
    ANM-ADMM $O({(MN + L)^3} + {(MN)^2} + 6MN + {L^2} + L)$
    下载: 导出CSV

    表  2  算法运行时间对比(s)

    Table  2.   Run time of different algorithms (s)

    算法 平均运行时间
    ANM-CVX-STAP 32.7150
    FOUCSS-STAP 5.3151
    SBL-STAP 10.9429
    ANM-ADMM 1.9462
    下载: 导出CSV

    表  3  双基SAR仿真参数

    Table  3.   Simulation parameters of BiSAR

    参数 数值
    载频 10 GHz
    信号带宽 150 MHz
    脉冲重复频率 1000 Hz
    天线通道数 5
    相干脉冲数 10
    发射机初始位置 (–5000, –3000, 4000) m
    接收机初始位置 (0, –5000, 3000) m
    发射机速度矢量 (0, 150, 0) m/s
    接收机速度矢量 (0, 150, 0) m/s
    运动目标初始位置 (0, 0, 0) m
    运动目标速度矢量 (–4, 4, 0) m/s
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-02-29
  • 修回日期:  2024-05-23
  • 网络出版日期:  2024-06-26

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