• DocumentCode
    2289097
  • Title

    HF Radar Target identification Based on Optimized Multi-frequency Features

  • Author

    Wu, Guang-xin ; Deng, Wei-bo

  • Author_Institution
    Res. Inst. of Electron. Eng., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, multi-frequency target radar cross section (RCS) of high frequency surface wave radar (HFSWR) is used for airplane target identification. Radar working frequency optimization selection is investigated for an optimization selection method based on the minimum classification error (MCE) rule in order to improve airplane target identification performance; Target RCS is compensated with the consideration of the influence of ground wave propagation attenuation and ocean wave additional loss. By using this method, identification results of ten types of airplane targets are given with different working frequency numbers in different signal to noise ratio (SNR). Simulations indicate that identification performance of frequency optimization is improved remarkably compared with the performance of random frequency selection, and the reliable airplane target identification using this method can be realized at lower SNR with fewer working frequency numbers
  • Keywords
    airborne radar; aircraft; electromagnetic wave propagation; ocean waves; radar cross-sections; radar target recognition; HF radar target identification; HFSWR; MCE rule; RCS; airplane target identification; ground wave propagation attenuation; high frequency surface wave radar; minimum classification error; ocean wave; optimization selection method; radar cross section; Airborne radar; Airplanes; Frequency; Hafnium; Optimization methods; Performance loss; Radar cross section; Sea surface; Signal to noise ratio; Surface waves; High frequency Radar identification; frequency select; multiple frequency;
  • 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.2006.343491
  • Filename
    4148190