高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

采用改进特征子空间投影的SAR脉冲式直达波干扰抑制方法

舒高峰 刘明月 李宁

舒高峰, 刘明月, 李宁. 采用改进特征子空间投影的SAR脉冲式直达波干扰抑制方法[J]. 电子与信息学报, 2024, 46(4): 1382-1390. doi: 10.11999/JEIT230665
引用本文: 舒高峰, 刘明月, 李宁. 采用改进特征子空间投影的SAR脉冲式直达波干扰抑制方法[J]. 电子与信息学报, 2024, 46(4): 1382-1390. doi: 10.11999/JEIT230665
SHU Gaofeng, LIU Mingyue, LI Ning. SAR Pulsed Direct Wave Interference Suppression Method Using Improved Eigen-Subspace Projection[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1382-1390. doi: 10.11999/JEIT230665
Citation: SHU Gaofeng, LIU Mingyue, LI Ning. SAR Pulsed Direct Wave Interference Suppression Method Using Improved Eigen-Subspace Projection[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1382-1390. doi: 10.11999/JEIT230665

采用改进特征子空间投影的SAR脉冲式直达波干扰抑制方法

doi: 10.11999/JEIT230665
基金项目: 河南省自然科学基金(222300420115)
详细信息
    作者简介:

    舒高峰:男,讲师,研究方向为SAR信号处理与成像技术

    刘明月:女,硕士生,研究方向为SAR无意干扰抑制

    李宁:男,教授,研究方向为多模式合成孔径雷达成像及其应用技术

    通讯作者:

    李宁 hedalining@henu.edu.cn

  • 中图分类号: TN957

SAR Pulsed Direct Wave Interference Suppression Method Using Improved Eigen-Subspace Projection

Funds: The Natural Science Foundation of Henan (222300420115)
  • 摘要: 射频干扰(RFI)会污染合成孔径雷达(SAR)回波信号,增加SAR图像解译难度。脉冲式直达波干扰(PDWI)作为典型的RFI,在原始回波域以明亮条纹状掩盖SAR回波信息,对SAR成像质量产生严重影响。现有的干扰抑制方法中,传统的特征子空间投影(ESP)方法对整条含干扰脉冲进行干扰抑制,造成了脉冲中非干扰位置有用信号损失。为了保护有用信号,该文提出一种改进ESP的SAR脉冲式直达波干扰抑制方法。首先,通过两次检测干扰,获取PDWI在时域中的具体位置。其次,仅对检测的干扰位置数据,采用ESP将有用信号和干扰信号分离。最后,从原始数据中减去ESP重构的干扰数据以实现干扰抑制。仿真和实测数据处理表明,与现有方法相比,该方法能够有效避免SAR原始数据中有用信号的损失,抑制了脉冲式直达波干扰。
  • 图  1  SAR系统与PRFI的时、空关系图

    图  2  所提方法流程图

    图  3  改进ESP的脉冲式直达波干扰抑制示意图

    图  4  仿真数据PDWI抑制前后SAR图像效果对比图

    图  5  PDWI抑制后强点目标方位向剖面图

    图  6  含PDWI的星载SAR原始数据效果图

    图  7  不同PDWI抑制方法的星载SAR图像效果对比图

    表  1  SAR系统与PDWI仿真参数

    参数
    距离向采样频率32.317 MHz
    脉冲重复频率1256.981 Hz
    景中心斜距988647 m
    载频5.400 GHz
    脉宽41.74 μs
    发射信号带宽30 MHz
    平台等效速度6955 m/s
    PDWI载频5.405 GHz
    PDWI带宽5 MHz
    下载: 导出CSV

    表  2  仿真数据下3种干扰抑制方法的评估指标(无干扰原始数据积分旁瓣比=–15.0222 dB)

    方法 均方根误差
    (ISZNR = 4.04%)
    均方根误差
    (ISZNR = 12.24%)
    均方根误差
    (ISZNR = 20.16%)
    TNF-MIAA 0.2975 0.4723 0.5904
    ESP 0.3224 0.4463 0.4591
    本文方法 0.2246 0.3156 0.3699
    下载: 导出CSV

    表  3  实测数据下3种干扰抑制方法的评估指标(原始数据:灰度熵=10.416 6;平均梯度=69 707)

    方法 灰度熵 平均梯度 积分旁瓣比在(dB)
    TNF-MIAA 8.6836 5 5105 –15.1990
    ESP 8.6681 4 9650 –13.6327
    本文方法 8.6846 5 5201 –17.4983
    下载: 导出CSV
  • [1] LIU Zhiling, LIAO Guisheng, and YANG Zhiwei. Time variant RFI suppression for SAR using iterative adaptive approach[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1424–1428. doi: 10.1109/LGRS.2013.2259575.
    [2] HAN Wenchang, BAI Xueru, FAN Weiwei, et al. Wideband interference suppression for SAR via instantaneous frequency estimation and regularized time-frequency filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5208612. doi: 10.1109/TGRS.2021.3098783.
    [3] XU Wei, XING Weida, FANG Chonghua, et al. RFI suppression based on linear prediction in synthetic aperture radar data[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(12): 2127–2131. doi: 10.1109/LGRS.2020.3015205.
    [4] 周峰, 邢孟道, 保铮. 基于特征子空间滤波的SAR窄带干扰抑制方法[J]. 电子与信息学报, 2005, 27(5): 767–770.

    ZHOU Feng, XING Mengdao, and BAO Zheng. Narrow band interference suppression for SAR using eigen-subspace based filtering[J]. Journal of Electronics & Information Technology, 2005, 27(5): 767–770.
    [5] ZHOU Feng, TAO Mingliang, BAI Xuerui, et al. Narrow-band interference suppression for SAR based on independent component analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(10): 4952–4960. doi: 10.1109/TGRS.2013.2244605.
    [6] ZHOU Feng, XING Mengdao, BAI Xuerui, et al. Narrow-band interference suppression for SAR based on complex empirical mode decomposition[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(3): 423–427. doi: 10.1109/LGRS.2009.2015340.
    [7] ZHANG Hui, HUANG Yan, LI Jie, et al. Time-varying RFI mitigation for SAR systems via graph Laplacian clustering techniques[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 1,19: 4010805. doi: 10.1109/LGRS.2021.3062828.
    [8] ZHANG Hengrui, MIN Lin, LU Jing, et al. An improved RFI mitigation approach for SAR based on low-rank sparse decomposition: From the perspective of useful signal protection[J]. Remote Sensing, 2022, 14(14): 3278. doi: 10.3390/rs14143278.
    [9] LI Ning, LV Zongsen, ZHAO Jianhui, et al. Time-domain notch filtering method for pulse RFI mitigation in synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 4013805. doi: 10.1109/LGRS.2021.3077247.
    [10] LI Ning, LV Zongsen, and GUO Zhengwei. Pulse RFI mitigation in synthetic aperture radar data via a three-step approach: Location, notch, and recovery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5225617. doi: 10.1109/TGRS.2022.3161368.
    [11] LV Zongsen, FAN Huaitao, CHEN Zhen, et al. Mitigate the LFM-PRFI in SAR data: Joint down-range and cross-range filtering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5205918. doi: 10.1109/TGRS.2023.3265774.
    [12] 周春晖, 李飞, 李宁, 等. 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, et al. 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.
    [13] HARTIGAN J A and WONG M A. A K-means clustering algorithm[J]. Journal of the Royal Statistical Society, 1979, 28(1): 100–108. doi: 10.2307/2346830.
    [14] LI Ning, LV Zongsen, and GUO Zhengwei. Observation and mitigation of mutual RFI between SAR satellites: A case study between Chinese GaoFen-3 and European Sentinel-1A[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5112819. doi: 10.1109/TGRS.2022.3170363.
    [15] HUANG Yan, ZHANG Lei, LI Jie, et al. A novel tensor technique for simultaneous narrowband and wideband interference suppression on single-channel SAR system[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(12): 9575–9588. doi: 10.1109/TGRS.2019.2927764.
    [16] CUI Guangmang, FENG Huajun, XU Zhihai, et al. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition[J]. Optics Communications, 2015, 341: 199–209. doi: 10.1016/j.optcom.2014.12.032.
    [17] SU Jia, TAO Haihong, TAO Mingliang, et al. Time-varying SAR interference suppression based on delay-Doppler iterative decomposition algorithm[J]. Remote Sensing, 2018, 10(9): 1491. doi: 10.3390/rs10091491.
  • 加载中
图(7) / 表(3)
计量
  • 文章访问数:  240
  • HTML全文浏览量:  81
  • PDF下载量:  37
  • 被引次数: 0
出版历程
  • 收稿日期:  2023-07-04
  • 修回日期:  2023-12-01
  • 网络出版日期:  2023-12-07
  • 刊出日期:  2024-04-24

目录

    /

    返回文章
    返回