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
Link To Document :
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