Research on channel estimation algorithm based on compressive sensing
Juan Chang, Yuhe Shi, Hongyan Zhao
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.101How to use a DOI?
- OFDM; underwater acoustic communication; channel estimation compresive sensing
- 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.
- 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 -