| 一种新的非线性预编码算法 |
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| 引用本文： | 郑凤,陈润芊,卢国仙,武穆清.一种新的非线性预编码算法[J].北京理工大学学报,2012,32(1):72-76. |
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| 作者姓名： | 郑凤 陈润芊 卢国仙 武穆清 |
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| 作者单位： | 北京邮电大学网络体系架构与融合北京市重点实验室,北京100876;北京交通大学轨道交通控制与安全国家重点实验室,北京 100044;北京邮电大学网络体系架构与融合北京市重点实验室,北京,100876 |
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| 基金项目： | 国家科技重大专项项目(2011ZX03001-007-03);轨道交通控制与安全国家重点实验室(北京交通大学)开放课题基金资助(RCS2010K001) |
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| 摘 要： | 为解决传统模代数预编码算法在信道条件不好时误码率高的问题,提出了将格点减少技术与模代数算法相结合的新的非线性预编码算法.该算法利用格点减少技术对实际信道矩阵进行正交处理,以提升系统的整体误码性能及保证用户间的公平性.仿真结果表明,该算法能够明显地改善系统的误码性能,且随着信噪比的提高,该算法的性能也逐渐提升.
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| 关 键 词： | 多用户多输入多输出(MU-MIMO) 模代数预编码 迫零算法 格点减少 |
| 收稿时间： | 2011/4/27 0:00:00 |
A New Nonlinear Precoding Algorithm |
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| ZHENG Feng,CHEN Run-qian,LU Guo-xian and WU Mu-qing.A New Nonlinear Precoding Algorithm[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(1):72-76. |
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| Authors: | ZHENG Feng CHEN Run-qian LU Guo-xian and WU Mu-qing |
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| Institution: | Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China; State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China;Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China;Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | A novel nonlinear algorithm combined with lattice reduction technique and traditional tomlinson-harashima precoding (THP) algorithm is proposed in this paper, which intends to solve the problem of high bit error rate (BER) from traditional THP algorithm when the channel is in bad condition. The multiple-input multiple-output (MIMO) practical channel matrix can be transformed orthogonally by using the lattice reduction technique. As a result, the system BER could be improved and the user fairness could be ensured as well. Simulation result shows that two particular proposed algorithms can significantly improve the BER performance of the MIMO system. As the signal-to-noise ratio increases gradually, the system performance would be better and better. |
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| Keywords: | multi-user multiple-input multiple-output (MU-MIMO) tomlinson-harashima precoding (THP) zero forcing algorithm lattice reduction |
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