Research on channel estimation algorithm based on compressive sensing

DOI

10.2991/amcce-15.2015.101How to use a DOI?

Keywords

OFDM; underwater acoustic communication; channel estimation compresive sensing

Abstract

For OFDM underwater acoustic communication system, OMP and CoSaMP channel estimation algorithm based on the sparsity of underwater acoustic channel are studied and comparised. Both of those algorithms have high estimation accuracy. However, the CoSaMP algorithm has the global optimality of channel reconstruction, and better ensures the stability of channel estimation. Through the simulation analysis, not only the efficiency and accuracy of those two estimation algorithms are verified, but also the optimum number of pilots used in CoSaMP algorithm is found. which at the same time ensuring that the estimation accuracy can effectively reduce the throughput of the system, improve the utilization of spectrum. The CoSaMP algorithm adopting the optimum number of pilots could increase the throughput of the system, and improve the spectrum utilization effectively,when ensuring the estimation accuracy.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Juan Chang
AU  - Yuhe Shi
AU  - Hongyan Zhao
PY  - 2015/04
DA  - 2015/04
TI  - Research on channel estimation algorithm based on compressive sensing
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 546
EP  - 551
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.101
DO  - 10.2991/amcce-15.2015.101
ID  - Chang2015/04
ER  -