Panayirci, E.Altabbaa, M. T.Uysal, MuratPoor, H. V.2020-08-122020-08-122019-03-151053-587Xhttp://hdl.handle.net/10679/6770https://doi.org/10.1109/TSP.2019.2893841In this paper, a new channel estimation algorithm is proposed that exploits channel sparsity in the time domain for an orthogonal frequency division multiplexing (OFDM)-based underwater acoustical (UWA) communications systems in the presence of Rician fading. A path-based channel model is used, in which the channel is described by a limited number of paths, each characterized by a delay, Doppler scale, and attenuation factor. The resulting algorithm initially estimates the overall sparse channel tap delays and Doppler shifts using a compressed sensing approach, in the form of the orthogonal matching pursuit (OMP) algorithm. Then, a computationally efficient and novel channel estimation algorithm is developed by combining the OMP and maximum a posteriori probability (MAP) techniques for estimating the sparse complex channel path gains whose prior densities have complex Gaussian distributions with unknown mean and variance vectors, where a computationally efficient maximum likelihood algorithm is proposed for their estimation. Monte Carlo simulation results show that the mean square error and symbol error rate performances of the OMP-MAP algorithm uniformly outperforms the conventional OMP-based channel estimation algorithm, in case of uncoded OFDM-based UWA communications systems.enginfo:eu-repo/semantics/restrictedAccessArticle6761550156500045799160000510.1109/TSP.2019.2893841Underwater acoustic channel estimationEqualizationOFDMOrthogonal matching pursuitMAP estimation2-s2.0-85061301379