• DocumentCode
    2288893
  • Title

    Robust Least Squares Method for Sporadic E Ionospheric Clutter Mitigation in High Frequency Surface Wave Radar

  • Author

    Lei, Li ; Rongqing, Xu ; Gaopeng, Li

  • Author_Institution
    Res. Inst. of Electron. Eng., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The unwanted ionospheric clutter has proved to be the greatest impediment to achieving consistently good performance for high-frequency surface wave radar (HFSWR), A robust least squares algorithm based on the dual-polar receiver was proposed in this paper for sporadic E ionospheric clutter mitigation. The horizontal auxiliary channel was modified to get the best performance of clutter mitigation in the worst case error circumstance under the limit of maximum error bound. The optimal weight coefficient was solved efficiently by converting the min-max problem into a minimization problem. The experimental result shows the effectiveness of the proposed method
  • Keywords
    interference suppression; ionospheric techniques; least squares approximations; minimax techniques; radar clutter; radar receivers; sporadic-E layer; HFSWR; dual-polar receiver; high frequency surface wave radar; horizontal auxiliary channel; min-max problem; minimization problem; optimal weight coefficient; robust least squares algorithm; sporadic E ionospheric clutter mitigation; Clouds; Frequency; Ionosphere; Least squares methods; Optimization methods; Radar clutter; Radar tracking; Robustness; Surface waves; Uncertainty; HFSWR; ionospheric clutter; robust least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343453
  • Filename
    4148176