• DocumentCode
    3500105
  • Title

    An improved algorithm based on s-transform for parameter estimation of frequency-hopping signals

  • Author

    Tong Li ; Jun Lv ; Weitao Sun

  • Author_Institution
    Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    The S-transform can´t both have the time and frequency resolution at the same time. So in order to solve this problem, this paper proposes a new joint algorithm for parameter estimation of frequency-hopping signals. First, S-transform with short window is obtained. Then, accurate estimation of hopping time is extracted from the time-frequency ridge of S-transform. Finally, using the FFT (Fast Fourier Transformation) algorithm, we can estimate the frequency of the signal between the two hopping times. Considering the distortion of the ridge line at high frequency component, and combining with the statistical property of white Gaussian noise in S-spectrum, an indirect band-pband-pass filteringass filtering method in time-frequency plane is proposed to smooth the ridge line and decline the influence of noise. Theoretical analysis and simulation results verify of the effectiveness and feasibility.
  • Keywords
    parameter estimation; signal processing; statistical analysis; transforms; frequency hopping signals; frequency resolution; hopping time; parameter estimation; statistical property; time frequency ridge; time resolution; white Gaussian noise; Continuous wavelet transforms; Image resolution; Noise; Time-frequency analysis; Band-Pass Filtering; FFT algorithm; Frequency-Hopping; Parameter estimation; S-transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6757995
  • Filename
    6757995