电子学报 ›› 2019, Vol. 47 ›› Issue (1): 204-210.DOI: 10.3969/j.issn.0372-2112.2019.01.027

• 学术论文 • 上一篇    下一篇

基于BEM的非平稳双选信道估计方法

沈轩帆1, 廖勇1, 代学武2, 刘凯3, 王丹4   

  1. 1. 重庆大学通信与测控中心, 重庆 400044;
    2. 东北大学流程工业综合自动化国家重点实验室, 辽宁沈阳 110819;
    3. 信息物理社会可信服务计算教育部重点实验室, 重庆 400044;
    4. 重庆邮电大学移动通信技术重庆市重点实验室, 重庆 400065
  • 收稿日期:2017-12-26 修回日期:2018-06-05 出版日期:2019-01-25 发布日期:2019-01-25
  • 通讯作者: 廖勇
  • 作者简介:沈轩帆 男,1994年出生于云南省昆明市.现为重庆大学通信工程学院硕士研究生.主要研究方向为无线通信信道估计.E-mail:shenxuanfan@foxmail.com;代学武 男,1976年出生于四川隆昌,现为东北大学教授,主要研究方向为动态系统状态估计,新一带宽带无线移动通信网信道估计等.E-mail:x.dai@ieee.org;刘凯 男,1984年出生于四川省成都市.现为信息物理社会可信服务计算教育部重点实验室与重庆大学计算机学院研究员.主要研究方向为移动计算、普适计算、大数据与物联网.E-mail:liukai0807@cqu.edu.cn;王丹 女,1981年出生于重庆市涪陵区.现为重庆邮电大学高级工程师.主要研究方向为宽带移动通信、主要研究方向为宽带移动通信、大规模MIMO.E-mail:wangdan@cqupt.edu.cn
  • 基金资助:
    国家自然科学基金(No.61501066,No.61572088,No.61701063);重庆市基础与前沿研究计划项目(No.cstc2015jcyjA40003,No.cstc2017jcyjAX0026,No.cstc2016jcyjA0209);中央高校基本科研业务费(No.106112017CDJXY500001)

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

SHEN Xuan-fan1, LIAO Yong1, DAI Xue-wu2, LIU Kai3, WANG Dan4   

  1. 1. Center of Communication and TT & C, Chongqing University, Chongqing 400044, China;
    2. State Key Laboratory of Synthetical Automation for Process Industry, Northeastern University, Shenyang, Liaoning 110819, China;
    3. Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing University, Ministry of Education, Chongqing 400044, China;
    4. Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
  • Received:2017-12-26 Revised:2018-06-05 Online:2019-01-25 Published:2019-01-25

摘要: 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.

关键词: 正交频分复用, 信道估计, 非平稳信道, 双选信道, 基扩展模型, 贝叶斯滤波

Abstract: 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.

Key words: orthogonal frequency division multiplexing (OFDM), channel estimation, non-stationary channel, doubly-selective channel, basis expansion model (BEM), Bayesian filtering

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