A Blind Receiver with Multiple Antennas in Impulsive Noise Modeled as the Sub-Gaussian Distribution via the MCMC Algorithm

Receivers with an antenna array based on the assumption of Gaussian noise have experienced poor performance in extremely low-frequency/very-low-frequency (ELF/VLF) communication systems, in which the noise is highly impulsive. In this paper, a blind receiver with multiple antennas for channels with impulsive noise is developed to estimate signal and channel parameters jointly by using the Markov chain Monte Carlo (MCMC) algorithm. The impulsive noise is modeled as the sub-Gaussian distribution, which is widely applied. Simulation results show that the blind receiver can rapidly converge, and excellent performance can be achieved.