• DocumentCode
    3018670
  • Title

    Super-Fast algorithm for minimum variance (Capon) spectral estimation

  • Author

    Marple, S. Lawrence, Jr. ; Adeli, Majid ; Liu, Huaping

  • Author_Institution
    Sensors & Electromagn. Applic. Lab., Georgia Tech Res. Inst., Smyrna, GA, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1832
  • Lastpage
    1836
  • Abstract
    The minimum variance spectral estimator (sometimes referenced as the Capon spectral estimator, or the minimum variance distortion-less response estimator) is a high resolution spectral estimator used extensively in practice as an alternative to the classical squared-magnitude Fourier estimator. In its original form without special algorithms, the one-dimensional formulation requires order p3 computations, in which p is the minimum variance filter size. The current implementation used in practice employs a fast algorithm developed by Musicus, requiring order p2 + p log2(2p) computations. This paper shows discoveries of additional exploitable structure to bring the computational complexity down to p + p log2(p), creating a superfast algorithm. Furthermore, by exploiting a differential relationship between two quantities in this structure, an approximated version of the proposed algorithm with an even lower computational complexity is derived.
  • Keywords
    Fourier analysis; computational complexity; maximum likelihood estimation; spectral analysis; Capon spectral estimator; classical squared-magnitude Fourier estimator; computational complexity; minimum variance filter size; minimum variance spectral estimation; super-fast algorithm; Algorithm design and analysis; Approximation algorithms; Approximation methods; Computational complexity; Filtering algorithms; Signal processing algorithms; Minimum variance spectral estimation; computational complexity; linear prediction; maximum likelihood spectral estimation; spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757893
  • Filename
    5757893