• DocumentCode
    2265454
  • Title

    A signal detection algorithm based on higher-order statistics for HFSW-OTH radar

  • Author

    Liang Zongchuang ; Xingzhao, Liu ; Yongtan, Liu

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Harbin Inst. of Technol., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    996
  • Lastpage
    1000
  • Abstract
    A signal detection algorithm based on higher-order statistics (HOS) is presented and applied to ship detection of high frequency surface wave over-the-horizon radar (HFSW-OTHR), where a complex domain time delay estimation (TDE) algorithm based on HOS is used to restrain the background noise. The key problem of reducing estimation variance of TDE based on HOS is solved under short data samples and low signal-to-noise ratio (SNR) situations. The detection performance of the proposed algorithm has advantages over that of traditional methods under a low SNR condition. The results by simulations and actual HF radar data show that the algorithm can obtain the desired detection performance (P d=90%, pf=10-6) when the SNR of the original data is only about 11 dB. Therefore, the resultant detector can not only extend the detection range, but also improve the performance of detection
  • Keywords
    delay estimation; higher order statistics; noise; radar detection; ships; HF radar data; HF surface wave over-the-horizon radar; HOS; SNR; TDE algorithm; background noise; detection performance; detection range; domain time delay estimation algorithm; estimation variance reduction; higher-order statistics; low signal-to-noise ratio; ship detection; short data samples; signal detection algorithm; simulation results; Background noise; Delay effects; Delay estimation; Frequency estimation; Higher order statistics; Marine vehicles; Radar detection; Signal detection; Signal to noise ratio; 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.2001.984878
  • Filename
    984878