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RECURSIVE QR DECOMPOSITION ARCHITECTURE FOR MIMO-OFDM DETECTION SYSTEMS

机译:MIMO-OFDM检测系统的递归QR分解架构

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This paper presents a modified implementation of QR decomposition for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) detection based on the Givens rotation method. The QR decomposition hardware is constructed using the coordinate rotation digital computer (CORDIC) algorithm operating with fewer gate counts and lower power consumption than do triangular systolic array (TSA) structures. Accurate signal transmission is essential to wireless communication systems. Thus, a more effective data detection algorithm and precise channel estimation method play vital roles in MIMO systems. Implementing data detection with QR decomposition helps reduce the complexity of MIMO-OFDM detection. Implementation results reveal that the proposed recursive QR decomposition
机译:本文针对基于Givens旋转方法的多输入多输出正交频分复用(MIMO-OFDM)检测提出了QR分解的改进实现。 QR分解硬件是使用坐标旋转数字计算机(CORDIC)算法构建的,与三角形脉动阵列(TSA)结构相比,其门数更少,功耗更低。准确的信号传输对于无线通信系统至关重要。因此,更有效的数据检测算法和精确的信道估计方法在MIMO系统中起着至关重要的作用。通过QR分解实现数据检测有助于降低MIMO-OFDM检测的复杂性。实现结果表明,提出的递归QR分解

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  • 来源
    《Journal of Circuits, Systems, and Computers》 |2013年第2期|1250078.1-1250078.18|共18页
  • 作者单位

    Department of Electrical Engineering,National Chung-Hsing University,250 Kuo Kuang Rd.,Taichung 402, Taiwan;

    National Chip Implementation Center,National Applied Research Laboratories,Hsinchu, Taiwan;

    Department of Electronic Engineering,National Chin- Yi University of Technology,57 Sec. 2 Zhongshan Rd., Taiping Dist.,Taichung 411, Taiwan;

    Department of Electrical Engineering,National Chung-Hsing University,250 Kuo Kuang Rd., Taichung 402, Taiwan;

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