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Variational Bayesian Channel Tracking in High-speed Underwater Acoustic Communication

In this paper, two novel joint channel tracking and noise variance estimation algorithms for single-carrier underwater acoustic communication system are proposed. The new algorithms combine the advantages of the variational Bayesian (VB) method and the compressed sensing technique. The proposed algorithms overcome the over-fitting of conventional orthogonal matching pursuit (OMP) based methods, and thus, lead to an improved performance. The proposed algorithms are applied to detect data received during an experiment conducted in December 2012 in the Indian Ocean off the Rottnest Island, Western Australia. The results show that the proposed algorithms can reduce the uncoded system BER by 1% to 6%.