A New DFT-HQ Channel Estimation Algorithm in OFDM Systems for Sparse Multipath Channels
Authors
Li Chen, Yuanan Liu, Jinchun Gao, Gang Xie
Corresponding Author
Li Chen
Available Online August 2013.
- DOI
- 10.2991/icaise.2013.53How to use a DOI?
- Keywords
- Sparse channel estimation, discrete Fourier transform (DFT), Hannan-Quinn (HQ) criterion, OFDM
- Abstract
In this paper, we propose an improved discrete Fourier transform (DFT)-based channel estimation scheme for Orthogonal Frequency Division Multiplexing (OFDM) systems. The proposed algorithm uses Hannan-Quinn (HQ) information criterion to estimate the number of most significant paths and the multipath time delays. With these channel parameters, Our scheme can reduce the noise impact and improve the performance of traditional DFT channel estimation scheme. Compared with other information criterion, such as the minimum description length (MDL) and the generalized Akaike information criterion (GAIC) criterion, the proposed scheme is found to have better performance.
- 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/).
Cite this article
TY - CONF AU - Li Chen AU - Yuanan Liu AU - Jinchun Gao AU - Gang Xie PY - 2013/08 DA - 2013/08 TI - A New DFT-HQ Channel Estimation Algorithm in OFDM Systems for Sparse Multipath Channels BT - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013) PB - Atlantis Press SP - 246 EP - 249 SN - 1951-6851 UR - https://doi.org/10.2991/icaise.2013.53 DO - 10.2991/icaise.2013.53 ID - Chen2013/08 ER -