Channel Modeling and Estimation for OFDM Systems in High-speed Trains Scenarios

Yuming Bi, Jianhua Zhang , Min Zhang and  Xiaodong Xu
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
Publish Year: 2016

Abstract: With the fast development of high-speed trains (HST) globally, some related technical issues of HST communications should be addressed, e.g. time- variant (TV) radio channel modeling and channel estimation. In this paper, we propose a more generic TV channel model based on Qian Liu’s research. Moreover, a generalized subspace-based channel estimation algorithm with the aid of an improved basic expansion model (BEM) is proposed for orthogonal frequency-division multiplexing (OFDM) systems in high-speed mobile environments. The proposed channel model is based on the sum-of- sinusoids (SoS) method and accounts for the fast fading characteristics of HST channels due to the terminal’s movement. The statistical analysis shows that the proposed model can be considered as a more general channel for TV-HST scenarios. Additionally, to accurately estimate the TV-HST channels, the improved BEM is applied to reconstruct the model by using the subspace projection method. Finally, numerical simulation illustrates that the accuracy of our channel estimation algorithm.

 

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