Moment-based estimation of the Nakagami-m fading parameter

Author

Cheng, Julian ; Beaulieu, Norman C.

Author_Institution

Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada

Volume

2

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

361

Abstract

Moment-based estimation of the Nakagami-m (1960) fading parameter is considered for both noiseless and noisy environments. For a noiseless environment, a family of new estimators, which uses lower order fractional sample moments, is shown to achieve better performance than the best known moment-based estimator and to achieve comparable performance to an approximate maximum-likelihood estimator. A new estimator is proposed for noisy environments and its performance is compared with an estimator derived for low noise environments

Keywords

fading channels; noise; parameter estimation; Nakagami-m fading parameter; approximate maximum-likelihood estimator; low noise environments; lower order fractional sample moments; moment-based estimation; noiseless environment; noisy environment; probability density function; 1f noise; Fading; Maximum likelihood estimation; Nakagami distribution; Parameter estimation; Probability density function; Random variables; Signal to noise ratio; Statistical distributions; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-7080-5

Type

conf

DOI

10.1109/PACRIM.2001.953644

Filename

953644