• DocumentCode
    3228999
  • Title

    Oblique projection polarization filtering and its performance in High Frequency Surface Wave Radar

  • Author

    Liu, Ai-Jun ; Mao, Xing-Peng ; Deng, Wei-bo

  • Author_Institution
    Harbin Inst. of Technol. (Weihai), Weihai, China
  • fYear
    2010
  • fDate
    8-11 May 2010
  • Firstpage
    1618
  • Lastpage
    1621
  • Abstract
    A novel polarization filtering method based on the oblique projection operator is proposed to improve the target detection performance for High Frequency Surface Wave Radar (HFSWR) system in this paper. The performance of the proposed oblique projection polarization filter (OPPF) is detailedly analyzed in presence of additive Gaussian white noise and the desired signal´s Mean Square Error (MSE) with the estimation error of the interference polarization parameter is discussed in detail. Numerical simulation results show that the proposed OPPF can enhance the target while mitigate the interference perfectly.
  • Keywords
    AWGN; filtering theory; interference suppression; mean square error methods; object detection; parameter estimation; radar detection; radar interference; radar signal processing; HFSWR radar system; additive Gaussian white noise; high frequency surface wave radar; interference mitigation; interference polarization parameter estimation error; numerical simulation; oblique projection operator; oblique projection polarization filtering method; signal mean square error; target detection; Filtering; Filters; Frequency; Interference; Object detection; Performance analysis; Polarization; Radar; Signal analysis; Surface waves; estimation error; interference suppressing; oblique projection; polarization filtering; polarization loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5705-2
  • Type

    conf

  • DOI
    10.1109/ICMMT.2010.5524832
  • Filename
    5524832