Title :
Maximum-likelihood based estimation of the Nakagami m parameter
Author :
Cheng, Julian ; Beaulieu, Norman C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
fDate :
3/1/2001 12:00:00 AM
Abstract :
Maximum-likelihood estimation of the Nakagami (1960) m parameter is considered. Two new estimators are proposed and examined. The sample mean and the sample variance of the new estimators are compared with the best reported estimator. The new estimators offer superior performance.
Keywords :
fading channels; maximum likelihood estimation; multipath channels; probability; radio links; signal sampling; MLE; Nakagami m parameter; PDF; approximate ML estimators; maximum-likelihood estimation; multipath fading; performance; probability density function; radio links; sample mean; sample variance; Fading; Gaussian distribution; H infinity control; Maximum likelihood estimation; Nakagami distribution; Parameter estimation; Probability density function; Radio link; Random variables; Rayleigh channels;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.913153
