• DocumentCode
    2498442
  • Title

    Recognition of echo signal applying Wigner´s distribution

  • Author

    Peng, Yuan ; Lin, Zheng-Qing ; Liu, Zeng-Wu ; Nie, Dong-Hu ; Li, Xue-Yao ; Wang, Ke-Jun ; Lin, Liang-Ji

  • Author_Institution
    Autom. control Inst., Harbin Eng. Univ., China
  • Volume
    5
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    3219
  • Abstract
    A key and difficult step of echo signal recognition is to extract the effective characteristic of target reflection signal. The research shows that it can limit Wigner´s feature extraction for single frequency and single time. For these reasons, we have posed time-frequency analytical method based on Wigner´s distribution transformation in the paper. Two kinds of targets True and False are classified by the method. We apply Fuzzy ART network to test the classification ability. When the ratio of signal and reverberation isn´t less than 6 dB, the correct recognition ratio can arrive 81% to original echo signal.
  • Keywords
    ART neural nets; Wigner distribution; echo; feature extraction; signal processing; time-frequency analysis; 6 dB; Wigners distribution; Wigners feature extraction; adaptive resonance theory; echo signal recognition; fuzzy ART network; target reflection signal; time frequency analytical method; Automatic control; Character recognition; Data mining; Feature extraction; Frequency domain analysis; Reverberation; Signal processing; Sonar detection; Target recognition; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1260135
  • Filename
    1260135