| 空时MIMO-OFDM 系统中基于扩展Kalman 滤波的信道估计 |
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| 引用本文： | 梁永明,罗汉文,黄建国.空时MIMO-OFDM 系统中基于扩展Kalman 滤波的信道估计[J].上海大学学报(英文版),2007,11(5):469-473. |
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| 作者姓名： | 梁永明 罗汉文 黄建国 |
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| 作者单位： | Department of Electronic Engineering Shanghai Jiaotong University，Department of Electronic Engineering，Shanghai Jiaotong University，College of Marine Engineering，Northwestern Polytechnical University，Shanghai 206240，P.R.China，Shanghai 200240，P.R.China，Xi'an 710072，P.R.China |
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| 基金项目： | 国家自然科学基金;国家高技术研究发展计划(863计划) |
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| 摘 要： | A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system is considered as a solution to the future wideband wireless communication system.This paper proposes an extended Kalman filtering-based (EKF-based) channel estimation method for space-time coded MIMO-OFDM systems.The proposed method can exploit pilot symbols and an extended Kalman filter to estimate channel without any prior knowledge of channel statistics.In comparison with the least square (LS) and the least mean square (LMS) methods,the EKF-based approach has a better performance in theory.Computer simulations demonstrate the proposed method outperforms the LS and LMS methods.Therefore it can offer dramatic system performance improvement at a modest cost of computational complexity.
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| 关 键 词： | 空时 MIMO-OFDM系统 扩展Kalman滤波 信道估计 |
| 收稿时间： | 18 April 2006 |
| 修稿时间： | 2006-04-18 |
Extended Kalman filtering-based channel estimation for space-time coded MIMO-OFDM systems |
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| LIANG Yong-ming,LUO Han-wen,HUANG Jian-guo.Extended Kalman filtering-based channel estimation for space-time coded MIMO-OFDM systems[J].Journal of Shanghai University(English Edition),2007,11(5):469-473. |
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| Authors: | LIANG Yong-ming LUO Han-wen HUANG Jian-guo |
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| Institution: | 1. Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China
2. College of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China |
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| Abstract: | A space-time coded multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system is considered as a solution to the future wideband wireless communication system.This paper proposes an extended Kalman filtering-based (EKF-based) channel estimation method for space-time coded MIMO-OFDM systems.The proposed method can exploit pilot symbols and an extended Kalman filter to estimate channel without any prior knowledge of channel statistics.In comparison with the least square (LS) and the least mean square (LMS) methods,the EKF-based approach has a better performance in theory.Computer simulations demonstrate the proposed method outperforms the LS and LMS methods.Therefore it can offer dramatic system performance improvement at a modest cost of computational complexity. |
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| Keywords: | multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) channel estimation extended Kalman filtering (EKF) least mean square (LMS) |
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