OFDM Channel Estimation Algorithm Research and Simulation in Tunnel Environment

DOI

10.2991/icacsei.2013.26How to use a DOI?

Keywords

Tunnel, Channel estimation, Least square criterion, Discrete Fourier Transform (DFT), Threshold.

Abstract

Least square (LS) algorithm based on least square criterion has poor estimation performance under low signal to noise ratio, if we directly use this method in tunnel environment, it will lead to larger estimation error. Considering the defects of the LS algorithm, this paper propose an improved LS channel estimation algorithm based on DFT time domain filtering. Firstly, this method will remove noises outside the guard interval; then, by setting a dynamic threshold, noises within the guard interval will be removed. Simulation results show that this method can achieve better estimation performance in low signal-to-noise ratio by selecting appropriate threshold, and this method is suitable for channel estimation in tunnel.

Copyright

© 2013, 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  - Ting Wang
AU  - Ming Lv
PY  - 2013/08
DA  - 2013/08
TI  - OFDM Channel Estimation Algorithm Research and Simulation in Tunnel Environment
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 105
EP  - 108
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.26
DO  - 10.2991/icacsei.2013.26
ID  - Wang2013/08
ER  -