Proceedings of the 2012 National Conference on Information Technology and Computer Science

A new DFT based channel estimation method for OFDM systems over multipath channels

Authors
Jing Wang, Yuehong Qiu
Corresponding Author
Jing Wang
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.263How to use a DOI?
Keywords
orthogonal frequency division multiplexing;channel estimation;DFT;threshold
Abstract
Channel estimation is one of the most significant technologies in the orthogonal frequency division multiplexing (OFDM) system and its accuracy will influence the performance of the whole system directly. Among all kinds of channel estimation algorithms, the least square'LS'estimation and the linear minimum mean-squared error (LMMSE) estimation are the most classic ones. However, both the two estimator are not able to reach a compromise between accuracy and computational complexity. The discrete Fourier transform (DFT) based channel estimation can get a better performance by a time domain processing. In this paper, we proposed an improved DFT based channel estimation which suppresses the noise by a new threshold setting method. The computer simulation results demonstrate that the proposed algorithm can reach accuracy close to the LMMSE algorithm and its computational complexity is much lower than the LMMSE estimator
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.263How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Wang
AU  - Yuehong Qiu
PY  - 2012/11
DA  - 2012/11
TI  - A new DFT based channel estimation method for OFDM systems over multipath channels
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 1037
EP  - 1040
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.263
DO  - https://doi.org/10.2991/citcs.2012.263
ID  - Wang2012/11
ER  -