• DocumentCode
    1946015
  • Title

    New insights on Pisarenko´s method for sinusoidal frequency estimation

  • Author

    So, H.C. ; Chan, K.W.

  • Author_Institution
    Dept. of Comput. Eng. & Inf. Technol., City Univ. of Hong Kong, Kowloon, China
  • Volume
    2
  • fYear
    2003
  • fDate
    1-4 July 2003
  • Firstpage
    503
  • Abstract
    The well known Pisarenko´s method for sinusoidal frequency estimation can be considered as a least squares minimization problem subject to a unit-norm constraint. In this paper, a computationally attractive and accurate frequency estimator is devised via applying weighted least squares in the Pisarenko´s framework. Simulation results are included to evaluate the estimation performance of the proposed algorithm in different conditions.
  • Keywords
    frequency estimation; least mean squares methods; minimisation; signal classification; Pisarenkos method; least squares minimization; sinusoidal frequency estimation; weighted least squares; Eigenvalues and eigenfunctions; Frequency estimation; Least squares approximation; Least squares methods; Radar applications; Radar measurements; Signal resolution; Sonar applications; Sonar measurements; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
  • Print_ISBN
    0-7803-7946-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2003.1224924
  • Filename
    1224924