Translated Title
High mobility channel estimation method based on basis expansion model
Translated Abstract
In this paper,the problem of high mobility channel estimation is investigated in the Long-Term Evolution for Railway (LTE-R) communication system.By employing a Basis Expansion Model(BEM),the channel impulse response of the LTE-R system is fitted as the summation of several basis functions multiplied by the corresponding coefficients.The fast time-varying channel can be obtained approximately by estimating the coefficients of the basis functions.The performances of a polynomial BEM,a Complex Exponential BEM(CE-BEM),a Generalized CE-BEM(GCE-BEM),and an Optimization GCE-BEM(OGCE-BEM) are compared by simulation.Simulation results show that the OGCE-BEM has the lowest Normalized Mean Square Error(NMSE).In addition,the estimation performances of the OGCE-BEM are discussed under different moving speeds,different numbers of basis functions,and different modulation modes,respectively.Simulation results reveal that the OGCE-BEM still has a lower NMSE under a higher moving speed,a smaller number of basis functions,and a higher order modulation.
Translated Keyword
basis expansion model
channel estimation
high mobility
Access Number
WF:perioarticaldzjsyy201706030
