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.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China (Grant No. U1405251), the Natural Science Foundation of Fujian Province (Grant No. 2015J05122), the Education Department Foundation of Fujian Province (Grant No. JA15089), the Science and Technology Development Foundation of Fuzhou University (Grant No. 2014-XY-30), and the Scientific Research Starting Foundation of Fuzhou University (Grant No. 022572).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lai, X., Chen, Z., Zhao, Y. (2018). Basis Expansion Model for Fast Time-Varying Channel Estimation in High Mobility Scenarios. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 209. Springer, Cham. https://doi.org/10.1007/978-3-319-66625-9_48
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DOI: https://doi.org/10.1007/978-3-319-66625-9_48
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