A Low Complexity Subspace-Based Blind Channel Estimation For MIMO-OFDM

DOI

10.2991/meita-15.2015.41How to use a DOI?

Keywords

OFDM; permutation and combination; subspace method; blind channel estimation

Abstract

The current subspace-based blind channel estimation for MIMO-OFDM system has the problems of high complexity due to matrix decomposition. In this paper, we proposed an improved subspace-based channel estimation algorithm, which is based on the method of the permutations and combinations on the transceiver signal. To reduce the complexity of singular value decomposition, this article put forward the idea of iterative instead. Theoretical analysis and simulation results showed that this algorithm could decrease the complexity compared with the traditional subspace algorithms in ensuring the accuracy and the converge.

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  - Yankui Zhang
AU  - Daming Wang
AU  - Song Chen
PY  - 2015/08
DA  - 2015/08
TI  - A Low Complexity Subspace-Based Blind Channel Estimation For MIMO-OFDM
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 214
EP  - 221
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.41
DO  - 10.2991/meita-15.2015.41
ID  - Zhang2015/08
ER  -