• DocumentCode
    561626
  • Title

    An approach to correction of ionospheric phase contamination in HF skywave radar systems

  • Author

    Jianwen, Chen ; Huan, Luo ; Zhiguo Zhao ; Zheng, Bao

  • Author_Institution
    Key Res. Lab., Wuhan Radar Inst., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    In high frequency (HF) skywave over-the-horizon radar (OTHR), radar signals are subjected to phase contamination as they propagate through the ionosphere, leading to severe degradation capability of OTHR radar, so that it needs to be corrected. According to the high spatial correlativity of the ionosphere contamination and the adjacent range cells are subjected to the same contamination, a new approach is applied to the ionosphere decontamination of OTHR echoes based on maximum likelihood estimation auto-focus method in ISAR and clutter suppression. The decontamination procedure is divided into two steps: firstly eigenvector projection is used to preprocess signals, and secondly using maximum likelihood estimation method to estimate contamination. The simulation and real data processing results show that the method is of effectiveness and robust performance on different kinds of ionospheric phase contaminations.
  • Keywords
    maximum likelihood estimation; radar clutter; radar signal processing; synthetic aperture radar; HF skywave radar systems; ISAR; clutter suppression; high spatial correlativity; ionospheric phase contamination; maximum likelihood estimation auto-focus method; over-the-horizon radar; radar signals; Clutter; Contamination; Eigenvalues and eigenfunctions; Ionosphere; Maximum likelihood estimation; Noise; Radar; correction of ionosphere contamination; eigenvector projection; maximum likelihood estimation method; over-the-horizon radar (OTHR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159491
  • Filename
    6159491