基于扩展卡尔曼滤波的MIMO迭代信道估计方法

李明富; 廖勇; 沈轩帆

doi:10.11959/j.issn.1000-0801.2017206

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基于扩展卡尔曼滤波的MIMO迭代信道估计方法

研究与开发 | 更新时间：2024-06-05

- 基于扩展卡尔曼滤波的MIMO迭代信道估计方法
- MIMO iterative channel estimation based on extended Kalman filter
- 电信科学 2017年33卷第9期页码：100-107
- 作者机构：
  
  1. 成都航空职业技术学院科技处，四川成都 610100
  2. 重庆大学通信与测控中心，重庆 400044
- 作者简介：
  
  [ "李明富（1978-），男，成都航空职业技术学院科技处副教授，主要研究方向为通信技术、软件无线电等。" ]
  [ "廖勇（1982-），男，博士，重庆大学通信与测控中心副研究员、硕士生导师，主要研究方向为高速移动通信、下一代移动通信等。" ]
  [ "沈轩帆（1994-），男，重庆大学通信与测控中心硕士生，主要研究方向为无线通信信道估计。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61501066);重庆市基础与前沿研究计划基金资助项目;Chongqing Research Program of Basic Research and Frontier Technology(cstc2015jcyjA40003);中央高校基本科研业务费重点基金资助项目;The Fundamental Research Funds for the Central Universities(106112017CDJXY500001);人工智能四川省重点实验室开放基金资助项目;The Open Fund of Key Laboratory of Artificial Intelligence of Sichuan Province(2012RYJ07)
- DOI：10.11959/j.issn.1000-0801.2017206
  中图分类号： TN911
- 网络出版日期：2017-09，
  
  纸质出版日期：2017-09-20
- 稿件说明：
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李明富, 廖勇, 沈轩帆. 基于扩展卡尔曼滤波的MIMO迭代信道估计方法[J]. 电信科学, 2017,33(9):100-107.

Mingfu LI, Yong LIAO, Xuanfan SHEN. MIMO iterative channel estimation based on extended Kalman filter[J]. Telecommunications science, 2017, 33(9): 100-107.
李明富, 廖勇, 沈轩帆. 基于扩展卡尔曼滤波的MIMO迭代信道估计方法[J]. 电信科学, 2017,33(9):100-107. DOI： 10.11959/j.issn.1000-0801.2017206.

Mingfu LI, Yong LIAO, Xuanfan SHEN. MIMO iterative channel estimation based on extended Kalman filter[J]. Telecommunications science, 2017, 33(9): 100-107. DOI： 10.11959/j.issn.1000-0801.2017206.

摘要

针对高速移动场景下信道快衰落、非平稳等特性导致下行链路信道估计性能受限的问题，提出了一种适用于高速移动环境下行链路的MIMO信道估计方法。采用自回归过程对信道建模，构造自反馈的扩展卡尔曼滤波器（EKF）追踪信道响应及其时域相关系数。采用迭代接收机的结构解决了在 MIMO环境下观测方程欠定的问题。仿真结果表明，在高速移动环境下所提方法相较于最小二乘估计等传统方法提升了信道估计的均方误差和系统的误码率性能，可应用于高速列车无线通信设备的接收机基带信号处理系统。

Abstract

In high-speed environment

fast fading and non-stationary limits the channel estimation performance

so a channel estimation method for high-speed mobility in MIMO downlink was proposed.A self-feedback extended Kalman filter (EKF) was set up to track the channel response and correlation parameters.An iterative detector ＆amp; decoder receiver was adopted to deal with the problem that the observation equation is an underdetermined equation.The simulation results show that compared with least squares(LS) in high speed environment

the proposed method improves the channel estimation accuracy and performance of whole system.And it could be applied in baseband signal processing of wireless receiver in high-speed train.

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references

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