• DocumentCode
    3021744
  • Title

    A parameter estimation algorithm using AR spectrum and STFT of hybrid modulated signal

  • Author

    Zhang Xuzhou ; Zhang Guoyi ; Tian Runlan ; Chang Shuo

  • Author_Institution
    Dept. of Electron. Countermeasure, Aviation Univ. of Air Force, Changchun, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    844
  • Lastpage
    848
  • Abstract
    Through analyzing a new kind of FSK/PSK hybrid modulated signal, this paper promotes a parameter estimate algorithm. The algorithm combined the AR spectrum and Short Time Fourier Transform (STFT). It split the hybrid signal into independent Costas signals, and then figured out the parameters. The algorithm does not need to preprocess the hybrid signal by squaring, which helps keep the original SNR. Extensive Monte Carlo simulation results indicated that the algorithm has less calculation amount and higher estimation precision, which is close to the Cramer-Rao lower bound.
  • Keywords
    Fourier transforms; Monte Carlo methods; autoregressive processes; frequency shift keying; parameter estimation; phase shift keying; AR spectrum; Costas signals; Cramer-Rao lower bound; Extensive Monte Carlo simulation; FSK hybrid modulated signal; PSK hybrid modulated signal STFT; SNR; parameter estimation algorithm; short time fourier transform; Accuracy; Estimation; Frequency shift keying; Parameter estimation; Phase shift keying; Signal to noise ratio; AR spectrum; Costas signal; FSK/PSK signal; STFT; parameter evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885176
  • Filename
    6885176