Advanced Search
Volume 46 Issue 4
Apr.  2024
Turn off MathJax
Article Contents
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

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

doi: 10.11999/JEIT230665
Funds:  The Natural Science Foundation of Henan (222300420115)
  • Received Date: 2023-07-04
  • Rev Recd Date: 2023-12-01
  • Available Online: 2023-12-07
  • Publish Date: 2024-04-24
  • Radio Frequency Interference (RFI) will pollute the echo signal of Synthetic Aperture Radar (SAR) and increase the difficulty of SAR image interpretation. Pulsed Direct Wave Interference (PDWI), as a typical RFI, covers SAR echo information with bright fringes in the original echo domain, which has a serious impact on SAR imaging quality. Among the existing interference suppression methods, the traditional Eigen Subspace Projection (ESP) method suppresses the whole pulse containing interference, which leads to the loss of useful signals in the non-interference positions in the pulse. In order to protect useful signals, an improved ESP SAR pulsed direct wave interference suppression method is proposed. Firstly, the specific position of PDWI in the time domain is obtained by twice detecting interference. Secondly, ESP operation is used to separate the useful signal from the interference signal only for the detected interference position data. Finally, the interference data of ESP reconstruction is subtracted from the original data to achieve interference suppression. Simulation and measured data processing show that, compared with the existing methods, this method can effectively avoid the loss of useful signals in SAR raw data and suppress the pulsed direct wave interference.
  • loading
  • [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

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(3)

    Article Metrics

    Article views (421) PDF downloads(69) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return