基于BEM的非平稳双选信道估计方法

Non-stationary and Doubly-Selective Channel Estimation Method Based on Basis Expansion Model

面向高速环境下的无线通信系统,针对高速信道的双选衰落和非平稳特性,提出一种基于基扩展模型(Basis Expansion Model,BEM)的贝叶斯滤波的信道估计方法.针对双选衰落特性,采用BEM信道模型,降低估计复杂度,消除子载波间干扰;针对非平稳特性,提出一种基于贝叶斯滤波的联合估计信道冲激响应与时变的时域自相关系数的信道估计方法.仿真分析表明,所提方法相较最小二乘法等传统方法在高速环境下能够提升估计精度和误码率性能.本方法特别适用于高速铁路的无线通信系统.

For wireless communication in high speed environment,aiming at doubly-selective fading and non-stationary channel features,this paper proposes a Bayesian filtering and smoothing channel estimation method based on basis expansion model (BEM).Aiming at the double-selection of channels,the BEM is adopted to reduce the estimation complexity and eliminate inter carrier interference.Aiming at the channel non-stationary characteristics,a channel estimation based on Bayesian filtering which is able to jointly estimate the time-varying correlation coefficients and channel impulse response is proposed.Simulation results show that the proposed methods have better estimation accuracy and overall performance than the least squares (LS) method and other traditional methods in high-speed scenarios.This method is suitable for the wireless communication system for high speed railway particularly.