电子学报2018，Vol.46Issue(3)：554-561,8.DOI:10.3969/j.issn.0372-2112.2018.03.006
基于扩展卡尔曼滤波的联合迭代检测译码信道估计方法
Joint Iterative Detector and Decoder Channel Estimation Based on Extended Kalman Filter
摘要
Abstract
In high-speed environment, fast fading and non-stationary limits the channel estimation performance, so we proposed a channel estimation method for high-speed mobility in downlink. The time-varying channel was modeled as an autoregressive (AR) process. So that a self-feedback extended Kalman filter (EKF) was set up to track the channel response and AR parameter. In order to eliminate the influence of error propagation in self-feedback EKF, an iterative detector & decoder receiver was adopted, by utilizing the redundancy of encoding, to improve the estimation accuracy. The simulation results show that compared with least squares (LS) and linear minimum mean square errors (LMMSE) in high speed environment, the proposed method improves the channel estimation accuracy and performance of whole system. And it could be applied to baseband signal processing of wireless receiver in high-speed train.关键词
LTE/高速移动/非平稳信道估计/迭代检测译码/扩展卡尔曼滤波器Key words
long term evolution (LTE)/high-speed mobility/non-stationary channel estimation/iterative detector & decoder/extended Kalman filter分类
信息技术与安全科学引用本文复制引用
廖勇,沈轩帆,代学武,周昕,王丹..基于扩展卡尔曼滤波的联合迭代检测译码信道估计方法[J].电子学报,2018,46(3):554-561,8.基金项目
国家自然科学基金(No.61501066) （No.61501066）
重庆市基础与前沿研究计划项目(No.cstc2015jcyjA40003,No.cstc2016jcyjAQ209) （No.cstc2015jcyjA40003,No.cstc2016jcyjAQ209）
西安电子科技大学综合业务网理论及关键技术国家重点实验室开放基金(No.ISN16-03) （No.ISN16-03）
中央高校基本科研业务费(No.106112014CDJZR165505,No.106112017CDJXY500001) （No.106112014CDJZR165505,No.106112017CDJXY500001）
