An Improvement in Multichannel SAR-GMTI Detection in Heterogeneous Environments

被引:32
|
作者
Liu, Baochang [1 ]
Yin, Kuiying [2 ]
Li, Yongkang [1 ]
Shen, Fengyang [1 ]
Bao, Zheng [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Nanjing Res Inst Elect Technol, Nanjing 210039, Jiangsu, Peoples R China
来源
关键词
Ground moving-target indication (GMTI); heterogeneous clutter; synthetic aperture radar (SAR); MOVING TARGET INDICATION; ALONG-TRACK INTERFEROMETRY; SYNTHETIC-APERTURE RADAR; PERFORMANCE ANALYSIS; CFAR;
D O I
10.1109/TGRS.2014.2328712
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This paper deals with target-detection issues in extremely heterogeneous environments, with a multichannel synthetic-aperture-radar-based ground moving-target indication (SAR-GMTI) system, and proposes a new detector with the aim of addressing such extremely heterogeneous environments. The proposed detector is a multistage one: The first detection stage implements the conventional Displaced Phase Center Array test, but the second stage implements a new test, which is called the Degree of Radial-Velocity Consistency (DRVC) test. We will show that the newly developed DRVC test possesses two pronounced characteristics. The first characteristic is that the DRVC test incorporates such a priori knowledge that the radial velocities corresponding to the individual components of a moving target are all equal, while the second characteristic of the DRVC test is its clutter-heterogeneity-independent property. The two characteristics make the proposed detector a good candidate for addressing extremely heterogeneous environments. Simulation results demonstrate that the proposed detector outperforms several existing detectors, particularly in the capacity to handle extremely heterogeneous environments. Moreover, the application of the proposed detector to a set of real-measured three-channel airborne SAR-GMTI data further demonstrates the efficacy of the proposed detector.
引用
收藏
页码:810 / 827
页数:18
相关论文
共 50 条
  • [1] GLRT Detection of Micromotion Targets for the Multichannel SAR-GMTI System
    Zhang, Wenpeng
    Fu, Yaowen
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 16 (01) : 60 - 64
  • [2] Analysis of the Multimode Feedhorn Concept for Multichannel SAR-GMTI
    Gierull, Christoph H.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (10): : 3611 - 3621
  • [3] Multichannel SAR-GMTI based on clutter cancellation and autofocus
    Wei, Beiyu
    Zhu, Daiyin
    Wu, Di
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2015, 36 (05): : 1585 - 1595
  • [4] An enhanced approach based on energy loss for multichannel SAR-GMTI systems in heterogeneous environment
    Tian, Min
    Yang, Zhiwei
    Xu, Huajian
    Liao, Guisheng
    Wang, Wanlin
    [J]. DIGITAL SIGNAL PROCESSING, 2018, 78 : 393 - 403
  • [5] MULTICHANNEL SAR-GMTI BASED ON THE ASYMMETRY OF THE SPATIAL SPECTRUM
    Zheng, Hongchao
    Wang, Junfeng
    Liu, Xingzhao
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6505 - 6508
  • [6] Motion Parameter Estimation for Multichannel SAR-GMTI Systems
    Zheng, Hongchao
    Wang, Junfeng
    Liu, Xingzhao
    [J]. 2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
  • [7] Coherence improving algorithm for airborne multichannel SAR-GMTI
    Lv, X.
    Xing, M.
    Bao, Z.
    Zhang, S.
    Wu, Y.
    [J]. IET RADAR SONAR AND NAVIGATION, 2010, 4 (03): : 336 - 347
  • [8] Adaptive CFAR for Space-Based Multichannel SAR-GMTI
    Sikaneta, Ishuwa C.
    Gierull, Christoph H.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (12): : 5004 - 5013
  • [9] A Clutter Suppression Method Based on NSS-RPCA in Heterogeneous Environments for SAR-GMTI
    Guo, Yifan
    Liao, Guisheng
    Li, Jun
    Gu, Tong
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (08): : 5880 - 5891
  • [10] Image-Based Target Detection and Radial Velocity Estimation Methods for Multichannel SAR-GMTI
    Suwa, Kei
    Yamamoto, Kazuhiko
    Tsuchida, Masayoshi
    Nakamura, Shohei
    Wakayama, Toshio
    Hara, Teruyuki
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (03): : 1325 - 1338