• DocumentCode
    3220915
  • Title

    Accurate range estimation of LFM monopulse radar based on virtual sample pulse compression

  • Author

    Cailing Wang ; Huajun Liu

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    3677
  • Lastpage
    3681
  • Abstract
    A high accuracy range estimation method based on Virtual Sample Pulse Compression (VSPC) is developed in this paper. Pulse compression based on FFT matching filter of transmitted signals and received signals is the range estimation method extensively used in various radar systems, however the estimation accuracy is limited by the bandwidth, especially for the low bandwidth radar. VSPC uses locally virtual sample to estimate more accurate scatter ranges. The coarse range is estimated by FFT based pulse compression, then the coarse estimation is fined through virtual sample of matrix Fourier Transform in the local neighborhood around the coarse estimation to achieve higher accuracy. Furthermore, as is shown in a lot of experiments, VSPC can achieve more accurate range estimation than conventional FFT based pulse compression method without increase the computation burden, especially for low bandwidth radar.
  • Keywords
    FM radar; fast Fourier transforms; matched filters; matrix algebra; pulse compression; radar signal processing; signal sampling; FFT matching filter; LFM monopulse radar coarse range estimation; VSPC; computation burden; matrix Fourier Transform; virtual sample pulse compression; Accuracy; Bandwidth; Correlation; Estimation; Fourier transforms; Matched filters; Radar; matrix Fourier Transform; pulse compression; range estimation; virtual sample;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162564
  • Filename
    7162564