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http://dx.doi.org/10.6109/jkiice.2014.18.5.1061

A Study on the Sparse Channel Estimation Technique in Underwater Acoustic Channel  

Gwun, Byung-Chul (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Lee, Oi-Hyung (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Kim, Ki-Man (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.5, 2014 , pp. 1061-1066 More about this Journal
Abstract
Transmission characteristics of the sound propagation is very complicate and sparse in shallow water. To increase the performance of underwater acoustic communication system, lots of channel estimation technique has been proposed. In this paper, we proposed the channel estimation based on LMS(Least Mean Square) algorithm which has faster convergence speed than conventional sparse-aware LMS algorithms. The proposed method combines $L_p$-norm LMS with soft decision process. Simulation was performed by using the sound velocity profile which acquired in real sea trial. As a result, we confirmed that the proposed method shows the improved performance and faster convergence speed than conventional methods.
Keywords
underwater acoustic communication; multipath propagation; channel impulse response; Least Mean Square; sparse channel; soft decision; sound velocity profile;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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