• DocumentCode
    3242919
  • Title

    A nonlinear approach to estimate the amplitude of a signal

  • Author

    Bondon, P. ; Benidir, M. ; Picinbono, B.

  • Author_Institution
    Lab. de Signaux et Syst., Gif-sur-Yvette, France
  • Volume
    5
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    301
  • Abstract
    The problem of estimating the amplitude of a signal appears in many aspects of signal processing such as, for example, amplitude modulation in communication theory. When the probability distribution of the noise is unknown, the calculation of the maximum likelihood estimator is impossible. Generally a linear estimator without bias and with minimum variance is used because it is simple to calculate and only requires the knowledge of the covariance matrix of the noise. The amplitude is estimated here with a polynomial of the observations. The coefficients of the polynomial are determined such that the estimator is unbiased with minimum variance regardless of the amplitude. This method is quite general since it only requires the knowledge of some higher-order moments of the noise
  • Keywords
    estimation theory; maximum likelihood estimation; noise; polynomials; signal processing; amplitude modulation; coefficients; communication theory; covariance matrix; higher-order moments; linear estimator; maximum likelihood estimator; minimum variance; noise; nonlinear method; observations; polynomial; probability distribution; signal amplitude estimation; signal processing; Additive noise; Amplitude estimation; Amplitude modulation; Bonding; Covariance matrix; Higher order statistics; Polynomials; Probability distribution; Signal processing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226623
  • Filename
    226623