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Lattice reduction-ordered successive interference cancellation detection algorithm for multiple-input–multiple-output system

机译:多输入多输出系统的格减少序连续干扰消除检测算法

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摘要

Lattice reduction (LR) is a powerful technique for improving the performance of linear multiple-input-multiple-output detection methods. The efficient LR algorithms can largely improve the performance of the linear detectors (LDs). Note that the ordered successive interference cancellation (OSIC) system can decrease the interference between antennas and provide performance gain of the LDs. In this paper, a novel LR-aided algorithm called NLR-OSIC improving the performance of the OSIC system has been proposed. Most existing LR algorithms are designed to improve the orthogonality of channel matrices, which is not directly related to the error performance of the OSIC system. While the authors' algorithm maximises the signal-to-interference-plus-noise ratio (SINR) of the detected symbol in each stage of the OSIC system, thus exhibiting improved error rate than the previous LR-aided LDs and their corresponding OSIC algorithms. In each stage, the authors verify that maximising the SINR of the detected symbol can be formulated as a shortest vector problem which is solved by a suboptimal algorithm in this study. In the end of this study, the error rate performance of the proposed algorithm as well as the required complexity has been demonstrated through extensive computer simulations.
机译:晶格缩减(LR)是一种强大的技术,可提高线性多输入多输出检测方法的性能。高效的LR算法可以大大提高线性检测器(LD)的性能。请注意,有序连续干扰消除(OSIC)系统可以减少天线之间的干扰并提供LD的性能增益。本文提出了一种新的LR辅助算法,称为NLR-OSIC,可以提高OSIC系统的性能。大多数现有的LR算法旨在提高信道矩阵的正交性,这与OSIC系统的错误性能没有直接关系。尽管作者的算法在OSIC系统的每个阶段都最大化了被检测符号的信号干扰加噪声比(SINR),但与以前的LR辅助LD及其相应的OSIC算法相比,其误码率有所提高。在每个阶段,作者验证可以将检测到符号的SINR最大化表示为最短向量问题,该问题在本研究中通过次优算法得以解决。在本研究的最后,已通过广泛的计算机仿真证明了所提出算法的误码率性能以及所需的复杂性。

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  • 来源
    《Signal Processing, IET》 |2015年第7期|553-561|共9页
  • 作者

    Yunchao Song; Chen Liu; Feng Lu;

  • 作者单位

    Sch. of Electron. Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China;

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  • 正文语种 eng
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