改进的基于特征子空间的SAR图像射频干扰抑制算法

周春晖 李飞 李宁 郑慧芳 王翔宇

周春晖, 李飞, 李宁, 郑慧芳, 王翔宇. 改进的基于特征子空间的SAR图像射频干扰抑制算法[J]. 雷达学报, 2018, 7(2): 235-243. doi: 10.12000/JR17025
引用本文: 周春晖, 李飞, 李宁, 郑慧芳, 王翔宇. 改进的基于特征子空间的SAR图像射频干扰抑制算法[J]. 雷达学报, 2018, 7(2): 235-243. doi: 10.12000/JR17025
Zhou Chunhui, Li Fei, Li Ning, Zheng Huifang, Wang Xiangyu. Modified Eigensubspace-based Approach for Radio-frequency Interference Suppression of SAR Image[J]. Journal of Radars, 2018, 7(2): 235-243. doi: 10.12000/JR17025
Citation: Zhou Chunhui, Li Fei, Li Ning, Zheng Huifang, Wang Xiangyu. Modified Eigensubspace-based Approach for Radio-frequency Interference Suppression of SAR Image[J]. Journal of Radars, 2018, 7(2): 235-243. doi: 10.12000/JR17025

改进的基于特征子空间的SAR图像射频干扰抑制算法

doi: 10.12000/JR17025
基金项目: 国家自然科学基金优秀青年基金(61422113)
详细信息
    作者简介:

    周春晖(1992–),男,山东人,中国科学院电子学研究所硕士研究生,研究方向为合成孔径雷达成像、自聚焦技术、干扰抑制等。E-mail: zchabc88@126.com

    李飞:李   飞(1976–),男,四川人,现为中国科学院电子学研究所研究员,硕士生导师,研究方向为合成孔径雷达总体、合成孔径雷达总控技术研究、星载嵌入式系统软硬件开发等。E-mail: lifei@mail.ie.ac.cn

    李宁:李   宁(1987–),男,安徽人,毕业于中国科学院电子学研究所,获得博士学位,现为中国科学院电子学研究所助理研究员,研究方向为多模式SAR成像及应用技术研究等。E-mail: lining_nuaa@163.com

    王翔宇(1990–),男,天津人,中国科学院电子学研究所博士研究生,研究方向为多通道SAR成像等。E-mail: wangxiangyu13@mails.ucas.ac.cn

    通讯作者:

    周春晖   zchabc88@126.com

Modified Eigensubspace-based Approach for Radio-frequency Interference Suppression of SAR Image

Funds: The National Natural Science Foundation of China (61422113)
  • 摘要: 射频干扰(the Radio Frequency Interference, RFI)会对有用信号产生不利影响,进而严重影响成像质量。该文提出了一种改进的基于特征子空间的合成孔径雷达(Synthetic Aperture Radar, SAR)图像射频干扰抑制算法。相比传统算法,所提算法增加了专门用于射频干扰检测的预处理模块。在预处理阶段,分别在频域和时域对干扰所在的数据区域进行检测。在后处理阶段,只对检测到干扰的数据区域进行基于特征子空间的干扰抑制。相比传统算法,所提算法在保持图像细部结构方面效果更好,且避免了时域逐脉冲干扰抑制带来的巨大运算量,运算效率大幅提高。

     

  • 图  1  由工作在L波段的机载SAR系统获得实测数据的距离频域方位时域幅度图

    Figure  1.  The range direction spectrum of the measured data obtained by an airborne SAR system working at L-band

    图  2  距离向频谱图

    Figure  2.  Average range direction spectrum of Fig. 1

    图  3  改进的特征子空间法的主要步骤流程图

    Figure  3.  Main flowchart of main steps of proposed approach

    图  4  利用传统的特征子空间法处理得到的点目标仿真实验结果

    Figure  4.  Imaging results of point target via traditional eigensubspace-based approach

    图  5  利用改进的的特征子空间法处理得到的点目标仿真实验结果

    Figure  5.  Imaging results of point target via modified eigensubspace-based approach

    图  6  包含RFI的完整原始SAR图像

    Figure  6.  Original full SAR image containing RFI

    图  7  图6中的区域“A”的对比实验结果

    Figure  7.  Results of contrast experiment of area “A” in Fig. 6

    图  8  图6中的区域“B”的对比实验结果

    Figure  8.  The results of the contrast experiment of the area “B” in Fig. 6

    表  1  仿真实验的主要系统参数

    Table  1.   Main system parameters for experiment

    参数 数值
    雷达工作频率(GHz) 1.3
    景中心斜距(km) 20
    雷达有效速度(m/s) 150
    波束斜视角 正侧视
    发射脉冲时宽(μs) 2.5
    距离向带宽(MHz) 50
    距离向采样频率(MHz) 70
    天线长度(孔径)(m) 3.75
    方位向采样率(PRF)(Hz) 112
    下载: 导出CSV

    表  2  距离向/方位向关键指标的仿真实验结果(dB)

    Table  2.   Simulation results of key indicators in range /azimuth direction (dB)

    方法 PSLR(峰值旁瓣比) ISLR(积分旁瓣比)
    传统方法 –11.3740/–13.2009 –8.2197/–10.0441
    改进方法 –12.9144/–13.2255 –9.9132/–10.1378
    下载: 导出CSV

    表  3  机载实验系统的主要系统参数

    Table  3.   Main system parameters for experiment

    参数 数值
    雷达工作频率(GHz) 1.3
    景中心斜距(km) 15.883
    雷达有效速度(m/s) 130.099
    波束斜视角 正侧视
    发射脉冲时宽(μs) 10.4
    距离向带宽(MHz) 210
    距离向采样频率(MHz) 266.667
    天线长度(孔径)(m) 1.36
    方位向采样率(PRF)(Hz) 899.5393
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-03-14
  • 修回日期:  2017-05-11
  • 刊出日期:  2018-04-28

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