• DocumentCode
    406216
  • Title

    A novel sequential estimation algorithm for chirp signal parameters

  • Author

    Xinghao, Zhao ; Ran, Tao ; Siyong, Zhou

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    628
  • Abstract
    The paper focuses on multiple parameter estimation of chirp signals in noisy environment. On the basis of analyzing the existing methods, a new sequential estimation method using RAT and FRFT is presented. Moreover, for the constant amplitude estimation, an expression suitable for computation is given. Simulation results verify the effectiveness of the method. The method estimates the parameters in a sequential manner. In order to analyze the noise and error propagation effect to the estimation accuracy. Some Monte Carlo experiments are made under various SNR. The results show that the method has still better estimation performance with a SNR as low as -9 dB.
  • Keywords
    Fourier transforms; Monte Carlo methods; Radon transforms; parameter estimation; signal processing; Monte Carlo experiments; Radon-ambiguity transform; chirp signal parameters; fractional-Fourier transform; multiple parameter estimation; sequential estimation algorithm; Acceleration; Amplitude estimation; Chirp; Computational modeling; Distributed computing; Frequency estimation; Parameter estimation; Radar imaging; Signal to noise ratio; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279353
  • Filename
    1279353