DocumentCode :
87384
Title :
MAP Estimation of the Ricean 
Factor
Author :
Beaulieu, Norman C. ; Yunfei Chen
Author_Institution :
Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
38
Issue :
2
fYear :
2015
fDate :
Spring 2015
Firstpage :
130
Lastpage :
131
Abstract :
An estimator for the Ricean K factor is designed by approximating the maximum a posterior (MAP) probability. The performance of the approximate MAP estimator is examined. Numerical results show that the approximate MAP estimator outperforms the approximate maximum likelihood estimator. It also outperforms the best moment-based estimator at small sample sizes.
Keywords :
approximation theory; estimation theory; maximum likelihood estimation; probability; MAP estimation; MAP probability; Ricean K factor; approximate maximum likelihood estimator; maximum a posterior probability; moment based estimator; Approximation methods; Computers; Fading; Log-normal distribution; Maximum likelihood estimation; Wireless communication; $K$ factor; Estimation; fading channels; maximum a posterior (MAP);
fLanguage :
English
Journal_Title :
Electrical and Computer Engineering, Canadian Journal of
Publisher :
ieee
ISSN :
0840-8688
Type :
jour
DOI :
10.1109/CJECE.2015.2404036
Filename :
7116664
Link To Document :
