文献类型：期刊文献

中文题名：一种基于DCS-KF的高移动稀疏信道估计方法

英文题名：High Mobility Sparse Channel Estimation Method Based-on DCS-KF

作者：袁伟娜[1];王嘉璇[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2019

卷号：41

期号：1

起止页码：74

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：20191506765927);Scopus;北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

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：分布式压缩感知;BEM;信道估计;卡尔曼滤波

外文关键词：distributed compressed sensing;basic expansion model;channel estimation;kalman filter

摘要：正交频分复用技术已经被广泛用于现行无线通信系统,也是未来移动通信的关键技术。OFDM系统通常采用相干检测的方法,因而信道状态信息估计准确与否直接影响到整个系统通信质量。提出了一种针对高速铁路山区的快时变稀疏环境下OFDM系统信道状态信息估计的新方法。首先采用BEM模型对快时变信道建模,降低待估计参数数量,然后根据多个OFDM符号之间信道响应主径的位置关系,采用DCS理论对多个OFDM符号主径的位置进行联合估计,提高主径估计准确度,最后采用卡尔曼滤波技术估计BEM系数,降低系数估计误差,获得信道响应。理论分析和仿真结果均表明,基于DCS-KF的信道估计方法在主径位置估计准确度和信道估计均方差性能方面均优于传统方法。
Orthogonal frequency division multiplexing technology,widely used in current wireless communication systems,is a key technology for future mobile communications.As OFDM systems usually use coherent detection methods,the accuracy of channel state information estimation directly affects the communication quality of the entire system.For fast time-varying sparse environment(high-speed railway mountainous environment),a novel OFDM channel estimation method was proposed.Firstly,the BEM model was used to model the fast time-varying channel,to reduce the number of parameters to be estimated.Then,based on the positional relationship of the principle paths of the channel response between multiple OFDM symbols,the distributed compressed sensing theory was utilized to jointly estimate the positions of the principle paths of multiple OFDM symbols to improve the accuracy of the principle path estimation.Finally,the BEM coefficient was estimated by KF technology to further reduce the estimation error,and to obtain the channel response.Both theoretical analysis and simulation results show that using the proposed method based DCS-KF,the performance of accuracy of principle-path and channel estimation mean square error is better than that of traditional method.