摘要
基于迫零矢量集搜索提出了一种新的混合最大似然(ML)和判决反馈均衡(DFE)的垂直贝尔实验室分层空时码(V-BLAST)检测算法.在该算法中,用最大似然检测的方法判决前l(l为最大似然度)层的迫零矢量集及其信号,在消除前l层的影响后逐层判决后续各层.分析和仿真结果表明:和已知的基于信道传输矩阵的QR分解的混合ML-DFE检测算法相比,当接收天线数小于最大似然度的平方时,该算法能够在获得相同的检测性能的条件下降低算法的计算复杂度.
A new combined maximum likelihood （ML） and decision feedback equalization （DFE） detection algorithm for the V-BLAST system is proposed based on nulling vector set searching. First the nulling vector set and corresponding signals of l levels are found with ML detection. Then the remnant signals of successive levels are gained level by level after removing the effect of first l levels. The analysis and simulation results show that, compared with the known combined ML and DFE detection based on the QR decomposition of the channel transmit matrix, this proposed algorithm can achieve the same detection performance but lower the computational complexity if the receive antennas number is smaller than the square of the maximum degree.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2006年第4期612-616,共5页
Journal of Xidian University
基金
国家自然科学基金资助项目(60472098
60502046)
关键词
分层空时结构
最大似然检测
判决反馈
迫零矢量
layered space-time architecture
maximum likelihood detection
decision feedback
nulling vector
