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A simulation-based approach to estimate the correlation parameters of multivariate Nakagami-m distribution

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3 Author(s)
Mingxin Zhou ; Dept. of Electron. Engineerings, Tsinghua Univ., Beijing, China ; Hao Zhang ; Yingning Peng

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.

Published in:

Communications Letters, IEEE  (Volume:9 ,  Issue: 9 )