| 基于扩展卡尔曼滤波的MIMO迭代信道估计方法 |
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| 引用本文： | 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). |
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| 作者姓名： | 李明富 廖勇 沈轩帆 |
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| 作者单位： | 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 |
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| 基金项目： | 国家自然科学基金资助项目，重庆市基础与前沿研究计划基金资助项目，中央高校基本科研业务费重点基金资助项目，人工智能四川省重点实验室开放基金资助项目(No.2012RYJ07)The National Natural Science Foundation of China，Chongqing Research Program of Basic Research and Frontier Technology，The Fundamental Research Funds for the Central Universities，The Open Fund of Key Laboratory of Artificial Intelligence of Sichuan Province |
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| 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.
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| 关 键 词： | MIMO OFDM 高速移动 非平稳信道估计 扩展卡尔曼滤波器 |
MIMO iterative channel estimation based on extended Kalman filter |
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| LI Mingfu,LIAO Yong,SHEN Xuanfan.MIMO iterative channel estimation based on extended Kalman filter[J].Telecommunications Science,2017,33(9). |
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| Authors: | LI Mingfu LIAO Yong SHEN Xuanfan |
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| 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 & 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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| Keywords: | multiple input multiple output orthogonal frequency division multiplexing high-speed mobility non-stationary channel estimation extended Kalman filter |
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