• DocumentCode
    2598717
  • Title

    Maneuvering target detection in over-the-horizon radar based on genetic algorithm

  • Author

    Wenjuan, Dai ; Jingfeng, Hu ; Dingwen, Xu ; Zixi, Wang

  • Author_Institution
    Electron. Eng. Coll., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    19-20 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In OTHR systems, the signal-to-clutter ratio (SCR) used for moving targets detection is very low. The Doppler frequency maneuvering targets, such as aircraft and missiles, is time-varying and spreading with long integration time (CIT). In this situation, the Fourier transform based target detection and tracking techniques may fail to work well with a long CIT, because there is a trade-off between the CIT length and Doppler resolution. A new method to detect maneuvering weak targets in the OTHR systems is proposed here. Time-frequency distribution techniques have been used to estimate the range of parameters of targets firstly, then, genetic algorithm (GA) is used to estimate the parameters accurately. The significance of time-frequency distribution is to narrow the search range of GA, and this operation can improve the processing efficiency.
  • Keywords
    Doppler effect; Fourier transforms; genetic algorithms; object detection; radar clutter; Doppler frequency maneuvering targets; Doppler resolution; Fourier transform; OTHR systems; SCR; genetic algorithm; maneuvering target detection; over-the-horizon radar; signal-to-clutter ratio; time-frequency distribution techniques; tracking techniques; Chirp; Clutter; Genetic algorithms; Object detection; Radar; Time frequency analysis; Transforms; OTH radar; genetic algorithm; maneuvering weak target detection; time-frequency distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave and Millimeter Wave Circuits and System Technology (MMWCST), 2012 International Workshop on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1893-8
  • Type

    conf

  • DOI
    10.1109/MMWCST.2012.6238146
  • Filename
    6238146