高速场景下基于OFDM的信道估计算法  

OFDM⁃based channel estimation algorithm in high⁃speed scenarios

作　　者：马宏彪 徐岩[1] MA Hongbiao;XU Yan(School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《现代电子技术》2021年第5期5-10,共6页Modern Electronics Technique

基　　金：国家自然科学基金资助项目(61461024)。

摘　　要：针对正交频分复用系统在高速场景下,存在难以准确获取信道状态信息和载波间干扰增强的问题,提出一种基于基扩展模型的时变信道估计算法。采用基扩展模型拟合时变信道,将信道参数的估计转化为基函数系数的估计;利用正交频分复用系统各符号在传输过程中的相关性建立状态、测量方程,通过卡尔曼滤波技术追踪时变信道,同时结合组导频图样对载波间干扰进行抑制。仿真分析显示,在不同速度条件的时变环境下,所提算法在信噪比性能上有明显优势,能有效提升估计精度,保证移动端在高速运行下的通信质量。In view of the facts that for orthogonal frequency division multiplexing(OFDM)system it is difficult to accurately obtain the channel state information(CSI)and the inter⁃carrier interference(ICI)is enhanced in high⁃speed mobile scenarios,a time⁃varying channel estimation algorithm based on the basis expansion model(BEM)is proposed.The BEM is used to fit the time⁃varying channel,and the estimation of the channel parameters is converted into that of the basis function coefficients.The correlation among the symbols of OFDM system is used to establish the state equation and measurement equation.The time⁃varying channel is tracked by Kalman filtering technology.In addition,the inter⁃carrier interference is suppressed in combination with the group⁃pilot pattern.Simulation analysis shows that,in the time⁃varying environment with different speed conditions,the proposed algorithm has obvious advantages in the signal⁃to⁃noise ratio(SNR)performance,can effectively improve the estimation accuracy and ensure the communication quality of mobile terminal at high⁃speed operation.

关 键 词：时变信道估计 正交频分复用 基扩展模型 时变信道追踪 干扰抑制 仿真分析 

分 类 号：TN911.22-34[电子电信—通信与信息系统]