Markov chain Monte Carlo Equalization for Single Carrier Underwater Acoustic Communications

This paper provides an equalization based on Markov chain Monte Carlo (MCMC) method for single carrier underwater acoustic (UWA) communications. The cluster-sparsity characteristics of UWA channels is considered, and the channel estimation is integrated into the MCMC equalizer to realize the joint channel estimation and symbol detection. Turbo equalization is also adopted to improve the performance. Experimental results show the BER of the proposed scheme can better or approach the direct-adaptive-based turbo equalization (DA-TEQ) schemes under two types of UWA channels. Compared with the DA-TEQ method, the MCMC-based method is not sensitive to the system parameters and has better robustness.