Research Article
Basis Expansion Model for Fast Time-Varying Channel Estimation in High Mobility Scenarios
@INPROCEEDINGS{10.1007/978-3-319-66625-9_48, author={Xinlin Lai and Zhonghui Chen and Yisheng Zhao}, title={Basis Expansion Model for Fast Time-Varying Channel Estimation in High Mobility Scenarios}, proceedings={Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Fast time-varying channel Channel estimation Basis expansion model}, doi={10.1007/978-3-319-66625-9_48} }- Xinlin Lai
Zhonghui Chen
Yisheng Zhao
Year: 2017
Basis Expansion Model for Fast Time-Varying Channel Estimation in High Mobility Scenarios
CHINACOM
Springer
DOI: 10.1007/978-3-319-66625-9_48
Abstract
In order to provide the users with reliable wireless communication service in high-speed mobility scenarios, we need to obtain channel state information by channel estimation. However, the wireless channel presents a characteristic of dynamic change in high-speed mobility environments. It will bring great challenge to channel estimation. Aiming at the high-speed railway communication system, the issue of the fast time-varying channel estimation is investigated in this paper. The impulse response of the fast time-varying channel is modeled as the product of the basis functions and the coefficients by introducing a basis expansion model (BEM). Meanwhile, the comb pilot clusters are inserted in frequency domain. The coefficients of basis functions are derived by the least-square estimation criterion so as to realize the estimation of the channel impulse response. Simulation results show that optimization generalized complex exponential BEM (OGCE-BEM) has the smallest normalized mean square error among the various types of BEMs.