This paper investigates fast time-varying channel estimation in LTE-R communication systems. The Basis Expansion Model （BEM） is adopted to fit the fast time-varying channel in a high-speed railway com- munication sc...This paper investigates fast time-varying channel estimation in LTE-R communication systems. The Basis Expansion Model （BEM） is adopted to fit the fast time-varying channel in a high-speed railway com- munication scenario. The channel impulse response is modeled as the sum of basis functions multiplied by different coefficients. The optimal coefficients are obtained by theoretical analysis. Simulation results show that a Generalized Complex-Exponential BEM （GCE-BEM） outperforms a Complex-Exponential BEM （CE-BEM） and a polynomial BEM in terms of Mean Squared Error （MSE）. Besides, the MSE of the CE- BEM decreases gradually as the number of basis functions increases. The GCE-BEM has a satisfactory performance with the serious fading channel.展开更多
文摘This paper investigates fast time-varying channel estimation in LTE-R communication systems. The Basis Expansion Model （BEM） is adopted to fit the fast time-varying channel in a high-speed railway com- munication scenario. The channel impulse response is modeled as the sum of basis functions multiplied by different coefficients. The optimal coefficients are obtained by theoretical analysis. Simulation results show that a Generalized Complex-Exponential BEM （GCE-BEM） outperforms a Complex-Exponential BEM （CE-BEM） and a polynomial BEM in terms of Mean Squared Error （MSE）. Besides, the MSE of the CE- BEM decreases gradually as the number of basis functions increases. The GCE-BEM has a satisfactory performance with the serious fading channel.
