• DocumentCode
    3216963
  • Title

    The improvement of ESPRIT algorithm based on the cross-correlation matrix trace modulus curve

  • Author

    Tong, Li ; Hao, Guo ; Biao, Qu Jing

  • Author_Institution
    Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    82
  • Lastpage
    84
  • Abstract
    Pray for the problem of high complexity on matrix eigenvalues and not easy hardware realization, this paper introduces a method based on cross-correlation matrix trace of modulus curve of the ESPRIT algorithm that doesn´t need to calculate matrix eigenvalues and can be easy hardware implementation. This paper improves the computation, and simulation results show that the improved algorithm effectively reduced the amount of calculation. At the same time in the high Signal to Noise Ratio (SNR), frequency estimation´s performance is better than modulation Fast Fourier Transform (FFT) algorithm.
  • Keywords
    eigenvalues and eigenfunctions; frequency estimation; matrix algebra; signal processing; ESPRIT algorithm; cross-correlation matrix trace modulus curve; frequency estimation; hardware realization; matrix eigenvalues; modulation fast Fourier transform algorithm; signal to noise ratio; Correlation; Covariance matrix; Eigenvalues and eigenfunctions; Frequency estimation; Harmonic analysis; Mean square error methods; Signal processing algorithms; ESPRIT; Generalized eigenvalue; modulation FFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6013549
  • Filename
    6013549