The Novel Channel Estimation Algorithm Relying on ELM

DOI

10.2991/ameii-15.2015.173How to use a DOI?

Keywords

Channel Estimation; Extreme Learning Machine; Low-pass Filter; OFDM

Abstract

An Extreme Learning Machine (ELM)-based novel channel estimation algorithm is proposed for orthogonal frequency division multiplexing (OFDM) communication system with multi-path propagation characteristics. In addition, a low-pass filter is utilized to filter the noise components which are separated from the information component of the channel characteristics. The simulation results show that the proposed novel algorithm significantly outdo the traditional least squares (LS) algorithm, linear minimum mean square error (LMMSE) estimation algorithm sometime even better than the Maximum Likelihood (ML) algorithm.

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  - Qingfeng DING
PY  - 2015/04
DA  - 2015/04
TI  - The Novel Channel Estimation Algorithm Relying on ELM
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 933
EP  - 938
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.173
DO  - 10.2991/ameii-15.2015.173
ID  - DING2015/04
ER  -