| 基于自适应训练序列的MIMO-OFDM系统频率同步算法 |
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| 引用本文： | 黄振,黄海,彭端,尹长川,高龙.基于自适应训练序列的MIMO-OFDM系统频率同步算法[J].北京邮电大学学报,2010,33(1):43-46. |
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| 作者姓名： | 黄振 黄海 彭端 尹长川 高龙 |
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| 作者单位： | 北京邮电大学,信息与通信工程学院,北京,100876;广东工业大学,信息工程学院,广州,510006;德州农工大学,电子计算机工程学院,德克萨斯州,77843 |
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| 基金项目： | 国家高技术研究发展计划项目(2007AA10Z235);;国家自然科学基金项目(60871042,60872049,60972073,60971082);;广州市科技计划项目(2006J1-C0331) |
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| 摘 要： | 对多入多出-正交频分复用(MIMO-OFDM)系统的频率同步问题进行研究，提出基于自适应训
练序列的MIMO-OFDM系统的频率同步算法. 所提出的训练序列利用接收端的信道状态信息(CSI)进行设计，并利用此训练序列对Schenk的载波频编(CFO)估计器进行改进，进一步提高了衰落信道下CFO估计的准确性. 仿真结果表明，本算法能降低信道噪声的干扰，提高时变信道下CFO估计精度.
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| 关 键 词： | 多入多出-正交频分复用 频率同步 载波频率偏移 训练序列 |
| 收稿时间： | 2009-04-07 |
| 修稿时间： | 2009-07-08 |
Adaptive Training Sequence Based Frequency Synchronization Scheme for MIMO-OFDM Systems |
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| HUANG Zhen,HUANG Hai,PENG Duan,YIN Chang-chuan,GAO Long.Adaptive Training Sequence Based Frequency Synchronization Scheme for MIMO-OFDM Systems[J].Journal of Beijing University of Posts and Telecommunications,2010,33(1):43-46. |
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| Authors: | HUANG Zhen HUANG Hai PENG Duan YIN Chang-chuan GAO Long |
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| Affiliation: | (1.School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China; 2.Information Engineering College, Guangdong University of Technology, Guangzhou 510006, China; 3.Department of Computer Science and Engineering, Texas Agriculture and Mechanic University, Texas 77843, USA) |
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| Abstract: | Joint design of the carrier frequency offset(CFO) estimator and adaptive training sequence for multi-input multi-output orthogonal frequency division multiplexing(MIMO-OFDM) system is investigated.With adaptive training sequence,which is optimized according to channel state information(CSI) available at the transmitter,proposed CFO estimator can update Schenk's estimator and then reduce the effect of channel noise and further increase the accuracy of CFO estimation in fading channels. |
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| Keywords: | multi-input multi-output orthogonal frequency division multiplexing frequency synchronization carrier frequency offset training sequence |
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