A blind receiver with multiple antennas in impulsive noise with Gaussian mixtures through MCMC approaches

Conventional Multi-Input Multi-Output (MIMO) receivers in the presence of Gaussian noise meet the performance degradation in ELF/VLF communication system, in which noise is highly impulsive. A blind receiver with an antenna array is developed to estimate symbols and channel model parameters simultaneously in impulsive noise environments. The noise is modeled as a mixture of multivariate Gaussian distributions, which is capable of representing abroad class of non-Gaussian distributions. The parameters of channel model and recipient symbols are estimated blindly through the Markov Chain Monte Carlo (MCMC) algorithm. Simulations reveal that the blind receiver proposed can achieve near optimum performance.