文献类型：期刊文献

中文题名：一种新的基于小波基的时变信道估计

英文题名：A Novel Time-varying Channel Estimation Based on Wavelet

作者：徐睿[1];袁伟娜[1];王建玲[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2018

卷号：40

期号：5

起止页码：90

中文期刊名：铁道学报

外文期刊名：Journal of the China Railway Society

收录：CSTPCD;;EI(收录号：20183305694714);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金(61501187);中央高校基本科研业务费(222201714032)

语种：中文

中文关键词：信道估计;OFDM;基函数;基扩展模型;尺度函数

外文关键词：channel estimation;OFDM;basis function;BEM;scale function

摘要：基扩展模型是最常用的快时变信道建模方法之一,而基函数的选取决定了建模的准确性。本文在多分辨率分析和Mallat算法的基础上,提出一种基于小波尺度函数构造基函数的方法,该方法采用Daubechies、Symlet、Coiflet小波的尺度函数进行快时变信道拟合。理论分析和仿真结果均表明,采用本文提出的基函数拟合时变信道,其信道估计性能优于基于传统的CE-BEM、GCE-BEM、P-BEM、DCT-BEM等模型的信道估计性能,复杂度低于DKL-BEM、DPS-BEM模型。相比于其他利用小波尺度函数构造的基函数,利用Sym2小波尺度函数构造的基函数的性能最优。
Basis expansion model is one of the most commonly used modeling methods for rapidly time-varying channels,and the choice of basis functions determines the accuracy of the modeling.Based on multiresolution analysis and Mallat algorithm,this paper proposed a basis function constructing method using wavelet scaling functions,which used Daubechies,Symlet,Coiflet wavelet scaling functions for rapidly time-varying channel fitting.Theoretical analysis and simulation results show that,using the proposed basis functions to fit time-varying channels,the performance of channel estimation is better than that of traditional CE-BEM,GCE-BEM,P-BEM,DCT-BEM models,while the complexity is lower than that of DKL-BEM,DPS-BEM models.Compared with other basis functions constructed by wavelet scaling function,the performance of basis function constructed by Sym2 wavelet scaling function is optimal.