翁秀娟， 刘金铸^*

（  南京信息工程大学电子与信息工程学院，南京 210044；  ）

摘要： 在多天线MIMO系统检测算法中，现已有基于迫零(ZF)准则的对偶格(DLR)辅助的噪声投影按序逐次消去(OSNPC)算法。由于该算法的性能与最大似然(ML)算法还存在较大差距，于是提出了基于最小均方差(MMSE)准则的DLR辅助的OSNPC算法。系统采用QPSK，16QAM调制方式，理论分析和仿真表明：通过扩展系统模型，DLR-MMSE-OSNPC算法在误码率性能上比DLR-ZF-OSNPC算法有较大的提高，复杂度也有所降低。
关键词： 对偶格约减；最小均方差；噪声投影按序逐次消去；干扰按序逐次消去；最大似然

Weng Xiujuan， Liu Jinzhu^*

（  College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044；  ）

Abstract： In the multi-antenna MIMO system detection algorithm, the DLR-aided ordered successive noise projection cancellation (OSNPC) algorithm has been proposed, which is based on the zero forcing (ZF) criterion. But there is a large performance gap between the algorithm and the maximum likelihood (ML) algorithm, then the DLR-aided OSNPC algorithm based on the minimum mean square error (MMSE) criterion is proposed. Taking QPSK, 16QAM modulation means as examples, Theoretical analysis and simulation show that by extending the system model, the symbol error rate performance of DLR-MMSE-OSNPC algorithm has improved compared with DLR-ZF-OSNPC algorithm, and its complexity has also been reduced.
Keywords： Dual lattice reduction; Minimum mean square error(MMSE); Ordered successive noise projection cancellation (OSNPC); Ordered successive interference cancellation (OSIC) ;Maximum-likelihood (ML) 

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