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

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.