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Information Technology Journal
  Year: 2013 | Volume: 12 | Issue: 5 | Page No.: 1040-1044
DOI: 10.3923/itj.2013.1040.1044
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Sparse Underwater Acoustic Channel Estimation Based on Compressive Sensing

Biao Wang and Yan Chen

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.

DOI: 10.3923/itj.2013.1040.1044


30 December, 2013
Tri Budi Santoso:
It's very excellent paper. Start with a theory and following by a step-by-step algorithm. It's help me to understand.
04 November, 2014
Wang B:

Thank you for your comments





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