Implementation comparisons of the QR decomposition for MIMO detection
Implementation comparisons of the QR decomposition for MIMO detection
复制标题
MIMO 检测的 QR 分解的实现比较
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
N. Wehn
中科院分区：
文献类型：
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作者：
G. Nazar;C. Gimmler;N. Wehn
在多输入多输出(MIMO)符号译码的背景下，出现了许多很有前途的方法，如连续干扰消除和球形译码。信道冲激响应矩阵的QR分解(QRD)是确保两种方法的后续译码步骤具有良好性能的关键。本文提出了一种低复杂度的基本QRD算法的硬件结构，并将其扩展为两种改进形式，即排序QR分解(SQRD)和最小均方误差SQRD。这项工作的主要贡献是比较了这三种变体的硬件实现，并从系统通信性能和计算复杂性方面分析了它们对MIMO-BICM系统的影响。
In the context of decoding multiple-input multiple-output (MIMO) symbols, many approaches rise as promising, such as successive interference cancellation and sphere decoding. The QR decomposition (QRD) of the channel impulse response matrix is a critical point to ensure good performance of the subsequent decoding steps for both approaches. This paper presents a low-complexity hardware architecture for the basic QRD algorithm, which is extended to two improved versions, namely the sorted QR decomposition (SQRD) and the minimum mean-square error SQRD. The main contribution of this work is a comparison of hardware implementations of the three variants and an analysis of their impact on a MIMO-BICM system regarding system communications performance and computational complexity.