• DocumentCode
    1655867
  • Title

    Polynomial phase demodulation in multitaper analysis

  • Author

    Thomson, David J.

  • Author_Institution
    Queen´´s Univ., Kingston, ON, Canada
  • fYear
    2009
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    This paper describes multitaper methods to estimate polynomial frequency modulation (FM) in low signal-to-noise environments. In the intended application, the frequency modulation occurs within the multitaper local bandwidth, the signal-to-noise ratio is low, and the raw data is non-Gaussian. This estimate uses the eigencoefficients as data and reconstructs the narrow band analytic signal and its time derivative from them. A set of polynomials, orthogonal with respect to inner products on the Slepian sequences, allows construction of a sequence of inverses with variable smoothness properties. These extend the standard multitaper F-test for line components to polynomial FM. With quadratic FM (cubic phase) the performance approaches the Cramer-Rao bound.
  • Keywords
    eigenvalues and eigenfunctions; frequency modulation; phase modulation; Cramer-Rao bound; Slepian sequences; eigencoefficients; multitaper analysis; polynomial frequency modulation; polynomial phase demodulation; signal-to-noise ratio; Bandwidth; Demodulation; Frequency estimation; Frequency modulation; Narrowband; Phase estimation; Polynomials; Signal analysis; Signal processing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
  • Conference_Location
    Cardiff
  • Print_ISBN
    978-1-4244-2709-3
  • Electronic_ISBN
    978-1-4244-2711-6
  • Type

    conf

  • DOI
    10.1109/SSP.2009.5278553
  • Filename
    5278553