• DocumentCode
    404871
  • Title

    Optimally weighted ESPRIT for parameter estimation of damped

  • Author

    Cheng, Qi

  • Author_Institution
    Sch. of Eng. & Ind. Design, Western Sydney Univ., NSW, Australia
  • Volume
    3
  • fYear
    2003
  • fDate
    15-17 Oct. 2003
  • Firstpage
    1189
  • Abstract
    In this paper, an optimally weighted ESPRIT algorithm is studied for parameter estimation of damped signals. The algorithm brings in a variance reduction of 1-2 dB to the ESPRIT, and more importantly, almost achieves the Cramer-Rao bound (CRB). The performance of the OW-ESPRIT is investigated through both numerical computation and simulations.
  • Keywords
    parameter estimation; research initiatives; signal processing; Cramer-Rao bound; damped signals; optimally weighted ESPRIT algorithm; parameter estimation; variance reduction; Computational modeling; Damping; Eigenvalues and eigenfunctions; Estimation theory; Frequency estimation; Gaussian noise; Noise level; Noise measurement; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
  • Print_ISBN
    0-7803-8162-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2003.1273435
  • Filename
    1273435
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=404871