Volume 7 Issue 2
May  2018
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  Journal of Radars  > 2018  >  7(2): 235-243
Huang Yong, Chen Xiao-long, Guan Jian. Property Analysis and Suppression Method of Real Measured Sea Spikes[J]. Journal of Radars, 2015, 4(3): 334-342. doi: 10.12000/JR14108
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
shu

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

DOI: 10.12000/JR17025
  • ①.

    Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China

  • ②.

    University of Chinese Academy of Sciences, Beijing 100049, China

Funds:  The National Natural Science Foundation of China (61422113)
  • Received Date: 2017-03-14
  • Rev Recd Date: 2017-05-11
  • Publish Date: 2018-04-28
    Abstract
  • Radio-Frequency Interference (RFI) adversely affects useful signals, thereby seriously affecting image quality. In this study, a modified eigensubspace-based approach for radio-frequency interference suppression of Synthetic Aperture Radar (SAR) images is proposed. In the preprocessing stage of our proposed algorithm, RFI detection is conducted in both the frequency and time domains. Subsequently, we can only deal with the data containing the RFI via the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our proposed algorithm can function more efficiently and effectively.

     

    • FullText(HTML)
    • References(19)
  • [1]
    Goriachkin O V. Azimuth resolution of spaceborne P, VHF-band SAR[J].IEEE Geoscience and Remote Sensing Letters, 2004, 1(4): 251–254. DOI: 10.1109/LGRS.2004.833777
    [2]
    邓云凯, 赵凤军, 王宇. 星载SAR技术的发展趋势及应用浅析[J]. 雷达学报, 2012, 1(1): 1–10. DOI: 10.3724/SP.J.1300.2012.20015

    Deng Yun-kai, Zhao Feng-jun, and Wang Yu. Brief analysis on the development and application of spaceborne SAR[J]. Journal of Radars, 2012, 1(1): 1–10. DOI: 10.3724/SP.J.1300.2012.20015
    [3]
    Meyer F J, Nicoll J B, and Doulgeris A P. Correction and characterization of radio frequency interference signatures in L-band synthetic aperture radar data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(10): 4961–24972. DOI: 10.1109/TGRS.2013.2252469
    [4]
    Nguyen L and Soumekh M. Suppression of radio frequency inteference (RFI) for synchronous impulse reconstruction ultra-wideband radar[C]. Proceedings of SPIE 5808, Algorithms for Synthetic Aperture Radar Imagery XII, Orlando, Florida, USA, 2005: 178–184.
    [5]
    Ojowu Jr O O and Li Jian. RFI suppression for synchronous impulse reconstruction UWB radar using RELAX[J]. International Journal of Remote Sensing Applications, 2013, 3(1): 33–46.
    [6]
    Lord R T and Inggs M R. Efficient RFI suppression in SAR using LMS adaptive filter integrated with range/Doppler algorithm[J]. Electronics Letters, 1999, 35(8): 629–630. DOI: 10.1049/el:19990437
    [7]
    Luo X, Ulander L M H, Askne J, et al. RFI suppression in ultra-wideband SAR systems using LMS filters in frequency domain[J]. Electronics Letters, 2001, 37(4): 241–243. DOI: 10.1049/el:20010153
    [8]
    Ulug B. An Algorithm for Sinusoidal Interference Reduction Using Iterative Maximum Likelihood Estimation Techniques[M]. 1992.
    [9]
    Buckreuss S. Filtering interferences from p-band SAR data[C]. Proceedings of EUSAR’98 Conference, Frie- drichshafen, Germany, 1998.
    [10]
    Ruan Hang, Ye Wei, Yin Can-bin, et al.. Wide band noise interference suppression for SAR with dechirping and eigensubspace filtering[C]. Proceedings of 2010 International Conference on Intelligent Control and Information Processing, Dalian, China, 2010: 39–42.
    [11]
    Feng Jin, Zheng Hui-fang, Deng Yun-kai, et al. Application of subband spectral cancellation for SAR narrow-band interference suppression[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(2): 190–193. DOI: 10.1109/LGRS.2011.2163150
    [12]
    Zhou Feng, Tao Ming-liang, Bai Xue-ru, 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
    [13]
    Zhou Feng and Tao Ming-liang. Research on methods for narrow-band interference suppression in synthetic aperture radar data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(7): 3476–3485. DOI: 10.1109/JSTARS.2015.2431916
    [14]
    郑慧芳, 杨淋, 冯锦. SAR窄带干扰抑制的子带子空间滤波技术研究[J]. 电子与信息学报, 2013, 35(12): 2836–2842. DOI: 10.3724/SP.J.1146.2013.00201

    Zheng Hui-fang, Yang Lin, and Feng Jin. Research on the subband subspace filtering for narrow band interference suppression in SAR[J]. Journal of Electronics&Information Technology, 2013, 35(12): 2836–2842. DOI: 10.3724/SP.J.1146.2013.00201
    [15]
    Smola A J and Schölkopf B. A tutorial on support vector regression[J]. Statistics and Computing, 2004, 14(3): 199–222. DOI: 10.1023/B:STCO.0000035301.49549.88
    [16]
    Huang Guang-bin, Zhou Hong-ming, Ding Xiao-jian, et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B(Cybernetics) , 2012, 42(2): 513–529. DOI: 10.1109/TSMCB.2011.2168604
    [17]
    周志华. 机器学习[M]. 北京: 清华大学出版社, 2016: 128–139.

    Zhou Zhi-hua. Machine Learning[M]. Beijing: Tsinghua University Press, 2016: 128–139.
    [18]
    Zhou Feng, Wu Ren-biao, Xing Meng-dao, et al. Eigensubspace-based filtering with application in narrow-band interference suppression for SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1): 75–79. DOI: 10.1109/LGRS.2006.887033
    [19]
    Li Ning, Wang R, Deng Yun-kai, et al. Autofocus correction of residual RCM for VHR SAR sensors with light-small aircraft[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(1): 441–452. DOI: 10.1109/TGRS.2016.2608423
    • Relative Articles
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(5)

    1. 杨志雄，汪静丽，孙文俊，尹亮，董先超，万洪丹，陈鹤鸣，钟凯. 多频点多波束可调的全空间太赫兹编码超表面. 光学学报. 2024(04): 308-317 .
    2. 黄若彤，李九生. 太赫兹多波束调控反射编码超表面. 物理学报. 2023(05): 231-239 .
    3. 汪静丽，杨志雄，董先超，尹亮，万洪丹，陈鹤鸣，钟凯. 基于VO_2的太赫兹各向异性编码超表面. 物理学报. 2023(12): 136-144 .
    4. 朱瑛，段坤，杨维旭，罗歆瑶，赵俊明，陈克，冯一军. 基于超构表面的低散射天线阵列. 空军工程大学学报(自然科学版). 2022(01): 30-36 .
    5. 王俊杰，冯德军，王志凇，邢世其，李永祯，王雪松. 电控时变电磁材料的SAR成像特性研究. 雷达学报. 2021(06): 865-873 . 本站查看

    Other cited types(4)

  • 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
    Get Citation
    PDF
    XML
    Article views(3489) PDF downloads(445) Cited by(9)
    Proportional views
    Related

    京ICP备20021838号-8   Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return