Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Research on channel estimation algorithm based on compressive sensing

Authors
Juan Chang, Yuhe Shi, Hongyan Zhao
Corresponding Author
Juan Chang
Available Online April 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.101How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/amcce-15.2015.101
ID  - Chang2015/04
ER  -