基于基扩展模型的高移动性信道估计方法

发布时间：2018-03-22 13:41

本文选题：信道估计　切入点：高移动性　出处：《电子技术应用》2017年06期 　论文类型：期刊论文

【摘要】：针对铁路长期演进(LTE-R)通信系统,开展高移动性信道估计研究。通过引入基扩展模型,将LTE-R系统的信道冲激响应拟合为若干基函数与系数乘积和的形式。通过对基函数系数的估计,实现对快速时变信道进行近似。通过仿真对多项式基扩展模型、复指数基扩展模型、泛化复指数基扩展模型和优化泛化复指数基扩展模型进行性能对比。仿真结果表明,优化泛化复指数基扩展模型具有最低的归一化均方误差。此外,对于优化泛化复指数基扩展模型,分别探讨了不同移动速度、不同基函数个数和不同调制方式下的估计性能。仿真结果显示,在较高移动速度、较少基函数个数及较高阶调制方式下,优化泛化复指数基扩展模型仍然具有较低的归一化均方误差。
[Abstract]:The research of high mobility channel estimation is carried out for LTE-R communication system with long term evolution of railway. The base expansion model is introduced. The channel impulse response of LTE-R system is fitted into the form of the product sum of several basis functions and coefficients. By estimating the basis function coefficients, the fast time-varying channel is approximated. The polynomial basis expansion model is simulated. The performance of the complex exponential basis expansion model, the generalized complex exponential base expansion model and the optimized complex exponential basis expansion model are compared. The simulation results show that the optimized complex exponential basis expansion model has the lowest normalized mean square error. The estimation performance of different moving speed, different number of basis functions and different modulation modes are discussed for the extended generalized complex exponential basis expansion model. The simulation results show that the proposed method has a high moving speed. In the case of fewer basis functions and higher order modulation, the generalized complex exponential basis expansion model still has lower normalized mean square error (RMSE).
【作者单位】：福州大学物理与信息工程学院;
【基金】：国家自然科学基金(U1405251) 福建省自然科学基金(2015J05122,2015J01250)
【分类号】：TN929.5

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