NDLI: Estimation of Ricean and Nakagami distribution parameters using noisy samples

Content Provider	IEEE Xplore Digital Library
Author	Chen, Y. Beaulieu, N.C.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada (Chen, Y.; Beaulieu, N.C.)
Abstract	The problem of estimating the Ricean and Nakagami-m distribution parameters in noisy slowly fading channels is studied. Previous published works have mainly examined estimation based on a noiseless sample model. The predicted performances of these estimators can only be achieved by having knowledge of the values of the individual noise samples and subtracting them from the noisy signals, an impractical case. In this paper, a system model which uses samples corrupted by noise is examined. The probability density functions of noisy channel samples are derived. Novel maximum likelihood estimators as well as moment-based estimators for operation in noisy environments are developed based on these density functions. The sample means and sample root mean square errors of the estimators are determined. Numerical results show the new estimators have superior performances over estimators designed for noiseless samples in applications where noise is present.
Starting Page	562
Ending Page	566
File Size	402163
Page Count	5
File Format	PDF
ISBN	0780385330
DOI	10.1109/ICC.2004.1312552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-20
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nakagami distribution Fading Working environment noise Maximum likelihood estimation Parameter estimation Probability density function Rayleigh channels Density functional theory Root mean square Wireless communication
Content Type	Text
Resource Type	Article

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