Title :
Novel Nakagami-m parameter estimator for noisy channel samples
Author :
Chen, Yunfei ; Beaulieu, Norman C. ; Tellambura, Chintha
Author_Institution :
Dept. of Electr. & Comput. Eng., Alberta Univ., Edmonton, Alta., Canada
fDate :
5/1/2005 12:00:00 AM
Abstract :
A novel moment-based m parameter estimator using noisy channel samples is derived. This estimator is simpler than known estimators. Numerical results are presented to demonstrate that, under some practical fading conditions, it outperforms previous estimators.
Keywords :
fading channels; method of moments; parameter estimation; polynomial approximation; Nakagami fading; fading channel; moment-based m-parameter estimator; noisy channel samples; Data analysis; Density measurement; Fading; Nakagami distribution; Noise measurement; Parameter estimation; Probability density function; Rayleigh channels; Signal to noise ratio; Wireless communication;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.05017