• DocumentCode
    899753
  • Title

    Computational analysis of rotational search methods for adaptive Pisarenko harmonic retrieval

  • Author

    DeBrunner, Victor

  • Author_Institution
    Sch. of Electr. Eng., Oklahoma Univ., Norman, OK, USA
  • Volume
    41
  • Issue
    5
  • fYear
    1993
  • fDate
    5/1/1993 12:00:00 AM
  • Firstpage
    1974
  • Lastpage
    1979
  • Abstract
    The rotational search method (RSM), which reduces the computational burden of the Pisarenko method for identifying undamped sinusoids in additive noise, is discussed. A brief review of previous adaptive algorithms for implementing the method is presented. Two simulations are presented which show the inherent sensitivity of the RSM algorithm. The sensitivity is shown to depend upon the Rayleigh-Ritz eigenvector estimate and the value of the minimum eigenvalue estimate. The errors in their tracking result in a loss of search direction orthogonality to the estimated minimum eigenvector. A higher precision for the enforced search direction orthogonality which minimizes the added computation is proposed, resulting in the altered RSM (ARSM)
  • Keywords
    adaptive filters; eigenvalues and eigenfunctions; filtering and prediction theory; harmonic analysis; search problems; spectral analysis; RSM algorithm; Rayleigh-Ritz eigenvector estimate; adaptive Pisarenko harmonic retrieval; computational analysis; minimum eigenvalue estimate; rotational search methods; search direction orthogonality; sensitivity; spectral estimation; undamped sinusoids; Adaptive filters; Adaptive signal processing; Algorithm design and analysis; Convergence; Finite impulse response filter; Harmonic analysis; Least squares approximation; Search methods; Signal processing algorithms; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.215319
  • Filename
    215319