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
fDate :
9/1/2005 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.1506707
