A Low Complexity Subspace-Based Blind Channel Estimation For MIMO-OFDM
Yankui Zhang, Daming Wang, Song Chen
Available Online August 2015.
- 10.2991/meita-15.2015.41How to use a DOI?
- OFDM; permutation and combination; subspace method; blind channel estimation
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.
- © 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/).
Cite this article
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 -