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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 5 | Page No.: 1040-1044
DOI: 10.3923/itj.2013.1040.1044
Sparse Underwater Acoustic Channel Estimation Based on Compressive Sensing
Biao Wang and Yan Chen

Abstract: An algorithm of channel estimation was proposed based on the theory of Compressive Sensing (CS) by analyzing the sparse characteristic of underwater acoustic channel for Orthogonal Frequency Division Multiplex (OFDM), Comparing with conventional Least Square (LS) estimation algorithm, the algorithm had good performance with less pilots, which improved the spectral efficiency of communication system. The result of simulation has analyzed the performance of the algorithm.

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How to cite this article
Biao Wang and Yan Chen, 2013. Sparse Underwater Acoustic Channel Estimation Based on Compressive Sensing. Information Technology Journal, 12: 1040-1044.

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