Azimuth ambiguity suppression with an improved reconstruction method based on antenna pattern for multichannel synthetic aperture radar systems

被引:23
|
作者
Wang, Wei [1 ]
Wang, Robert [1 ]
Deng, Yunkai [1 ]
Xu, Wei [1 ]
Guo, Lei [1 ]
Hou, Lili [1 ]
机构
[1] Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China
来源
IET Radar Sonar and Navigation | 2015年 / 9卷 / 05期
关键词
D O I
10.1049/iet-rsn.2014.0236
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For synthetic aperture radar (SAR) systems, antenna array which is distributed in flight direction could increase the equivalent sample frequency in azimuth by a factor of the number of elements of antenna array. With a reconstruction algorithm, the aliased Doppler spectrum could be recovered. However, the degradation of conventional algorithms for reconstructing the Doppler spectrum with special pulse repetition frequency (PRF) shows poor robustness and the out-of-band energy which is caused by the side lobes of the antenna pattern deteriorates the azimuth ambiguity to signal ratio of a multichannel SAR. In this study, an improved reconstruction algorithm based on antenna pattern is proposed by generating an ambiguity matrix, which resembles the covariance matrix and could be used to reconstruct in-band signal and minimise the azimuth ambiguity energy. Aiming at increasing the robustness of the algorithm, the method of diagonal loading is introduced to the approach. Even in the scenario of special PRF, which is close to the singular point, the signal could be successfully reconstructed with the improved approach. Simulation results validate the proposed method.
引用
收藏
页码:492 / 500
页数:9
相关论文
共 50 条
  • [1] Array error estimation method for multichannel synthetic aperture radar systems in azimuth
    Guo, Xiaojiang
    Gao, Yesheng
    Wang, Kaizhi
    Liu, Xingzhao
    Journal of Applied Remote Sensing, 2017, 11 (01)
  • [2] Array error estimation method for multichannel synthetic aperture radar systems in azimuth
    Guo, Xiaojiang
    Gao, Yesheng
    Wang, Kaizhi
    Liu, Xingzhao
    JOURNAL OF APPLIED REMOTE SENSING, 2017, 11
  • [3] Azimuth Multichannel Reconstruction for Moving Targets in Spaceborne Squinted Multichannel Synthetic Aperture Radar
    Xu Wei
    Wei Zhengbin
    Huang Pingping
    Tan Weixian
    Qi Yaolong
    Gao Zhiqi
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (08) : 2276 - 2285
  • [4] Modified reconstruction algorithm based on space-time adaptive processing for multichannel synthetic aperture radar systems in azimuth
    Guo, Xiaojiang
    Gao, Yesheng
    Wang, Kaizhi
    Liu, Xingzhao
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [5] Azimuth Ambiguity Suppression for Hybrid Polarimetric Synthetic Aperture Radar via Waveform Diversity
    Zhao, Pengfei
    Deng, Yunkai
    Wang, Wei
    Liu, Dacheng
    Wang, Robert
    REMOTE SENSING, 2020, 12 (07)
  • [6] Filtering of Azimuth Ambiguity in Stripmap Synthetic Aperture Radar Images
    Di Martino, Gerardo
    Iodice, Antonio
    Riccio, Daniele
    Ruello, Giuseppe
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (09) : 3967 - 3978
  • [7] Suppression of azimuth ambiguity for the detection of ships on the ocean by wide-swath synthetic aperture radar
    Yamaoka, Tomoya
    Kageme, Satoshi
    IEICE COMMUNICATIONS EXPRESS, 2023, 12 (12): : 633 - 636
  • [8] Ambiguity Suppression by Azimuth Phase Coding in Multichannel SAR Systems
    Bordoni, Federica
    Younis, Marwan
    Krieger, Gerhard
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (02): : 617 - 629
  • [9] AMBIGUITY SUPPRESSION BY AZIMUTH PHASE CODING IN MULTICHANNEL SAR SYSTEMS
    Bordoni, Federica
    Younis, Marwan
    Krieger, Gerhard
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 4457 - 4460
  • [10] Efficient Ground Moving Target Imaging Method for Synthetic Aperture Radar With Target Azimuth Ambiguity
    Chen, Zhanye
    Li, Li
    Wan, Jun
    Li, Dong
    Tan, Xiaoheng
    IEEE SENSORS JOURNAL, 2021, 21 (20) : 23297 - 23307