• DocumentCode
    2698087
  • Title

    Fast estimation method and performance analysis of frequency modulation rate via RAT

  • Author

    Li, Wenchen ; Dan, Mei ; Wang, Xuesong ; Li, Dun ; Wang, Guoyu

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    144
  • Lastpage
    147
  • Abstract
    Based on RAT model method, the fast algorithm of parameter estimation of discrete digital signal is studied in this paper. The model of multi-component LFM signal and the parameter estimation of RAT are presented. The fast algorithm of RAT model method of the discrete digital signal is offered, and residual expansion coefficient(REC) is proposed to testify the performance of parameter estimation, and computation cost is analyzed. Simulation results have validated the algorithm of RAT model method has reached the Cramer-Rao bound on both high and low SNR, and meanwhile the validity of the performance analysis of LFM parameter estimation based on REC method is testified. The method presents good application foreground to analyze multi-component LFM signal.
  • Keywords
    Radon transforms; frequency modulation; parameter estimation; signal processing; Cramer-Rao bound; Radon-ambiguity transform; discrete digital signal; fast estimation method; frequency modulation; parameter estimation; performance analysis; residual expansion coefficient; Algorithm design and analysis; Analytical models; Computational efficiency; Computational modeling; Frequency estimation; Frequency modulation; Parameter estimation; Performance analysis; Signal analysis; Testing; CRB(Cramer-Rao bound); Radon-ambiguity transform (RAT); multi-component LFM signal; residual expansion coefficient(REC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4607984
  • Filename
    4607984