• DocumentCode
    3433220
  • Title

    Multi-Component LFM Signal Feature Extraction Based on Improved Wigner-Hough Transform

  • Author

    Liu Feng ; Sun Da Peng ; Tao Ran ; Wang Yue

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Hough transform has been disturbed by the noise. Faced with this problem, firstly, use the improved Sobel operator of digital image processing to detect edge feature of WVD figure of signal with noise, and then search local max in parameter space though Hough transform. Finally through computer simulation of the WHT, SPWD-Hough and improving WHT, feature extraction result of multi-component LFM signal using improved WHT is proved best. The method computes fast and noise can be suppressed efficiently.
  • Keywords
    Hough transforms; feature extraction; frequency modulation; image processing; Sobel operator; Wigner-Hough transform; digital image processing; feature extraction; linear frequency modulation; multicomponent LFM signal; radar reconnaissance; Computer vision; Digital images; Face detection; Feature extraction; Image edge detection; Noise figure; Radar detection; Radar imaging; Reconnaissance; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.462
  • Filename
    4678371