A new method for estimation of the amplitude distribution of signals

Author

Brushe, G.D. ; Malcolm, W. Paul ; White, Langford B.

Author_Institution

Commun. Div., Signal Anal. Discipline, Salisbury, SA, Australia

Volume

5

fYear

1997

Firstpage

3801

Abstract

A hidden Markov model method for estimating an a posterior distribution of the amplitude of QAM communications signals is presented. As the signal to noise ratio decreases the hidden Markov model method is shown to perform significantly better than a conventional histogram method for characterising the amplitude distribution. The HMM estimation is performed within a expectation maximisation method in order to improve the estimates of the transition probabilities used in the HMM and the resulting estimated amplitude distribution

Keywords

amplitude estimation; hidden Markov models; optimisation; quadrature amplitude modulation; signal processing; statistical analysis; HMM estimation; a posterior distribution; amplitude distribution; communications signals; expectation maximisation method; hidden Markov model method; signal to noise ratio; transition probabilities; Adaptive systems; Amplitude estimation; Amplitude modulation; Australia; Baseband; Feature extraction; Hidden Markov models; Histograms; Quadrature amplitude modulation; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.604706

Filename

604706