• DocumentCode
    2430536
  • Title

    Frequency hopping signals analysis based on image processing

  • Author

    Zhijin, Zhao ; Yao, Yao ; Jun-na, Shang

  • Author_Institution
    Sch. of Telecommun., Hangzhou Dianzi Univ., Hangzhou
  • fYear
    2008
  • fDate
    7-11 June 2008
  • Firstpage
    560
  • Lastpage
    564
  • Abstract
    An analysis method of frequency hopping (FH) signals based on image processing is proposed in this paper. Firstly the time-frequency spectrum of FH signals is obtained using short time Fourier transform (STFT), secondly the background noise in time-frequency spectrum is removed by contrast stretch, binarization operation and morphological operation, and then time-frequency resolution is improved by morphological thinning algorithm, lastly the parameters of FH signals such as hopping frequencies, hop timing, hop time and hop duration are estimated. Simulation results demonstrate the validity of this method.
  • Keywords
    Fourier transforms; estimation theory; frequency hop communication; image thinning; mathematical morphology; spectral analysis; time-frequency analysis; binarization operation; contrast stretch; frequency hopping signal; image processing; morphological operation; morphological thinning; short time Fourier transform; signal estimation; time-frequency spectrum; Background noise; Fourier transforms; Frequency estimation; Image analysis; Image processing; Morphological operations; Signal analysis; Signal processing; Signal resolution; Time frequency analysis; Frequency Hopping Communication; Image Processing; Parameter Estimation; Time-Frequency Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2008 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-2310-1
  • Electronic_ISBN
    978-1-4244-2311-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2008.4590413
  • Filename
    4590413