• DocumentCode
    653464
  • Title

    A Blind Demodulation Algorithm for MFSK Signals Using STFT-Radon-Wavelet Transform

  • Author

    Zhang Guoyi ; Qi Xinglong ; Zhang Xuzhou ; Lin Caiyong

  • Author_Institution
    Dept. of Electron. Countermeasure, Aviation Univ. of Air Force, Changchun, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    1940
  • Lastpage
    1945
  • Abstract
    A blind demodulation algorithm for MFSK (M-ary Frequency Shift Keying) was proposed in the paper. Firstly it exploited STFT to obtain the TFR(time-frequency representation) of MFSK signal. In addition, the Hough transform was applied to extract the modulation parameters, the number and values of carrier frequencies of MFSK signal. Secondly we got M WT plots through the Modified Wavelet transform based on the acquired parameters. Finally, we calculated the code width and demodulated the coding sequence of carrier frequencies according to the derived formulas of code width and hopping laws of modular peaks in WT plots. Extensive Monte Carlo simulation results indicate that the algorithm can complete the parameter estimation and signal demodulation under the premise of no prior information of 2FSK, 4FSK, and 8FSK.
  • Keywords
    Fourier transforms; Hough transforms; Monte Carlo methods; Radon transforms; codes; demodulation; frequency shift keying; parameter estimation; signal representation; time-frequency analysis; wavelet transforms; 2FSK; 4FSK; 8FSK; Hough transform; M-ary frequency shift keying; MFSK signal; STFT-Radon-wavelet transform; TFR; blind demodulation algorithm; code width calculation; coding sequence demodulation; extensive Monte Carlo simulation; modulation parameter extraction; parameter estimation; time-frequency representation; Demodulation; Encoding; Estimation; Frequency estimation; Signal to noise ratio; Wavelet transforms; Blind demodulation; Hough transform; MFSK; STFT; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.361
  • Filename
    6682372