• DocumentCode
    3411167
  • Title

    Radar HRRP automatic target recognition: Algorithms and applications

  • Author

    Liu, Hongwei ; Du, Lan ; Wang, Penghui ; Pan, Mian ; Bao, Zheng

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-27 Oct. 2011
  • Firstpage
    14
  • Lastpage
    17
  • Abstract
    Radar automatic target recognition (RATR) is an important function for modern radar. Target high resolution range profile (HRRP) contains target structure signatures, such as target size, scatterer distribution, etc., thereby radar HRRP target recognition has received intensive attention from the RATR community. Statistical modeling of target HRRPs is the key stage for HRRP statistical recognition, which including model selection and parameter estimation. In this paper, we introduce the recent progress in HRRP based RATR, including the statistical modelling algorithms of HRRP data, robust recognition algorithms for low signal noise ratio(SNR) case, and some results based on the measured data.
  • Keywords
    parameter estimation; radar target recognition; statistical analysis; RATR; SNR; model selection; parameter estimation; radar HRRP automatic target recognition; scatterer distribution; signal noise ratio; statistical modeling; statistical modelling algorithms; target high resolution range profile; target structure signatures; Data models; Radar; Signal processing algorithms; Signal to noise ratio; Target recognition; Training; Temporal Factor Analysis; factor analysis; high resolution range profile; local factor analysis; radar target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar (Radar), 2011 IEEE CIE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8444-7
  • Type

    conf

  • DOI
    10.1109/CIE-Radar.2011.6159709
  • Filename
    6159709