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首页> 外文期刊>IEICE Transactions on fundamentals of electronics, communications & computer sciences >Efficient Hybrid DFE Algorithms in Spatial Multiplexing Systems
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Efficient Hybrid DFE Algorithms in Spatial Multiplexing Systems

机译:空间复用系统中的高效混合DFE算法

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The wireless systems that establish multiple input multiple output (MIMO) channels through multiple antennas at both ends of the communication link, have been proved to have tremendous potential to linearly lift the capacity of conventional scalar channel. In this paper, we present two efficient decision feedback equalization algorithms that achieve optimal and suboptimal detection order in MIMO spatial multiplexing systems. The new algorithms combine the recursive matrix inversion and ordered QR decomposition approaches, which are developed for nulling cancellation interaface Bell Labs layered space time (BLAST) and back substitution interface BLAST. As a result, new algorithms achieve total reduced complexities in frame based transmission with various payload lengths compared with the earlier methods. In addition, they enable shorter detection delay by carrying out a fast hybrid preprocessing. Moreover, the operation precision insensitivity of order optimization greatly relaxes the word length of matrix inversion, which is the most computational intensive part within the MIMO detection task.
机译:通过通信链路两端的多个天线建立多输入多输出(MIMO)通道的无线系统已被证明具有巨大的潜力,可以线性提升传统标量通道的容量。在本文中,我们提出了两种有效的决策反馈均衡算法,可在MIMO空间复用系统中实现最优和次优检测顺序。新算法结合了递归矩阵求逆和有序QR分解方法,这些方法是为消除抵消接口,贝尔实验室的分层时空(BLAST)和反向替换接口BLAST而开发的。结果,与早期方法相比,新算法在具有各种有效载荷长度的基于帧的传输中实现了总体上降低的复杂性。此外,它们可以通过执行快速混合预处理来缩短检测延迟。此外,阶数优化对运算精度的不敏感性极大地放松了矩阵求逆的字长,而矩阵求逆是MIMO检测任务中计算量最大的部分。

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