设为首页 |  加入收藏
首页狗万aap狗万要实名制狗万是什么意思啊稿 约征订启事合作办刊联系我们English
 
一种基于DCS-KF的高移动稀疏信道估计方法
作者:袁伟娜 王嘉璇 
单位:华东理工大学 信息科学与工程学院, 上海200237
关键词: 分布式压缩感知  BEM  信道估计  卡尔曼滤波 
分类号:
出版年·卷·期(页码):2019·41·第1期(74-79)
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。狗万要实名制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.

参考文献:
服务与反馈:
文章下载】【发表评论】【查看评论】【加入收藏
提示:您还未登录,请登录!点此登录
 
友情链接   更多

地址:北京复兴路10号  中国铁道学会《狗万aap_狗万要实名制_狗万是什么意思啊》编辑部    邮编:100844      电话:(010)51848021 / 51847501 
传真:(010)51892424       邮箱:tdxb@vip.163.com   京ICP备09031577号