Data-aided and non-data-aided estimation of signal amplitude for binary data communication in Laplace noise

Authors:
Norman C. Beaulieu;Sijing Jiang
Affiliations:
Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada;Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
Venue:
IEEE Transactions on Communications
Year:
2010

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Abstract

The estimation of signal amplitude for a binary data communication system in the presence of Laplace noise is considered. Maximum likelihood estimators are derived for both data-aided and non-data-aided cases. An absolute median estimator with a simple implementation is also proposed. The performances of the proposed estimators are examined and compared to well-known previous estimators in terms of mean-squared error. Numerical results quantify the superiority of the proposed estimators over the conventional estimators.