A New DFT-HQ Channel Estimation Algorithm in OFDM Systems for Sparse Multipath Channels

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/).

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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  -