Author
Panayirci, E., Altabbaa, M. T., Uysal, Murat, Poor, H. V.
Publication Date
2019-03-15
Publication Place
-
IEEE
Subject
Underwater acoustic channel estimation, Equalization, OFDM, Orthogonal matching pursuit, MAP estimation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1053-587X
Record ID
6cc04f7e-b98d-4eca-a363-82a71d04b8b1
Library Location
Electrical & Electronics Engineering
Date
2019-03-15
Notes
TÜBİTAK ; National Science Foundation (NSF) ; TUBITAK under 2219 International Fellowship Program
Sample Text
In 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.
DOI
10.1109/TSP.2019.2893841
Cilt
67
