Data Fitting-based SNR estimation algorithm for the Adaptive Transmission
- https://doi.org/10.2991/icmmita-16.2016.209How to use a DOI?
- SNR estimation; adaptive transmission; parameter estimation; data fitting.
Adaptive transmission system selects the suitable transmission rate on the basis of the current channel state. In this paper, we exploit the signal to noise ration (SNR) as a benchmark of standard to measure the channel state. We employ data fitting (DF) to estimate SNR, which is a key technology of the adaptive transmission, and we change the transmission rate according to the estimation of SNR. The proposed algorithm can obtain a low computational complexity and can have performance improvement of SNR estimation. The superiority of the proposed algorithm is revealed by simulations.
- © 2017, 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/).
Cite this article
TY - CONF AU - Zezhou Sun AU - Chenghua Wang AU - Xiaofei Zhang PY - 2017/01 DA - 2017/01 TI - Data Fitting-based SNR estimation algorithm for the Adaptive Transmission BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.209 DO - https://doi.org/10.2991/icmmita-16.2016.209 ID - Sun2017/01 ER -