• DocumentCode
    2260658
  • Title

    HF shipborne over-the-horizon surface wave radar background clutter statistics

  • Author

    Zhang, Zhong ; Yuan, Yeshu ; Meng, Xiande

  • Author_Institution
    Res. Inst. of Electron. Eng., Harbin Inst. of Technol., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    100
  • Lastpage
    104
  • Abstract
    Sea clutter statistics are very important in designing target detection algorithms in both shore-based SWR (surface wave radar) and shipborne SWR. The sea clutter statistical characteristics in shore-based SWR have been discussed (see Barrick, D.E. and Bsnider, J., IEEE Trans. on Antennas and Propagation, p.19-28, 1997), but the statistics of sea echo in shipborne SWR radar have not been reported. The statistical models of first-order Bragg lines and the second order components of sea echoes, which include the effect of motion of the radar platform, are established for shipborne SWR. The effects of radar platform motion on the statistics of sea echoes are analyzed and the results are verified by measured data. This provides a theoretical basis for some Gaussian-based target detection techniques to be used in shipborne SWR
  • Keywords
    marine radar; radar clutter; radar detection; radar target recognition; radar theory; search radar; statistical analysis; Gaussian-based target detection; HF radar; first-order Bragg lines; over-the-horizon radar; radar platform motion; sea clutter statistics; sea echo; second order components; shipborne radar; shore-based radar; surface wave radar; surveillance radar; target detection algorithms; Algorithm design and analysis; Antennas and propagation; Hafnium; Object detection; Radar antennas; Radar clutter; Radar measurements; Sea surface; Statistics; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2001 CIE International Conference on, Proceedings
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-7000-7
  • Type

    conf

  • DOI
    10.1109/ICR.2001.984632
  • Filename
    984632