DocumentCode
1161508
Title
A simulation-based approach to estimate the correlation parameters of multivariate Nakagami-m distribution
Author
Zhou, Mingxin ; Zhang, Hao ; Peng, Yingning
Author_Institution
Dept. of Electron. Engineerings, Tsinghua Univ., Beijing, China
Volume
9
Issue
9
fYear
2005
fDate
9/1/2005 12:00:00 AM
Firstpage
799
Lastpage
801
Abstract
A Bayesian estimator for the correlation parameters of the multivariate Nakagami-m distribution is presented in this letter. The proposed estimator is a generalized Gibbs sampler, called group-based sampler. Numerical simulation results demonstrate that our new estimator offers reasonably small relative error and it also provides an acceptable performance.
Keywords
Bayes methods; correlation theory; fading channels; matrix algebra; parameter estimation; radio receivers; sampling methods; Bayesian estimator; correlation parameter; generalized Gibbs sampler; group-based sampler; multivariate Nakagami-m distribution; Bayesian methods; Buildings; Convergence; Euclidean distance; Fading; Nakagami distribution; Numerical simulation; Parameter estimation; Performance analysis; Probability density function;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2005.1506707
Filename
1506707
Link To Document