In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) strategy designed for latticereduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the optimal MIMO symbol estimate at each SIC detection stage, we model the so-called effective symbols generated with the aid of lattice-reduction as joint Gaussian distributed random variables. However, after lattice-reduction, the effective symbols become correlated and exhibit a non-zero mean. Hence, we derive the optimal minimum-mean-squared-error (MMSE) SIC detector, which updates the mean and variance of the effective symbols at each SIC detection stage. As a result, the proposed detector achieves an approximately 3 dB Eb/N0 gain and performs close to the maximum likelihood detector.
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机译：在本文中，我们提出并研究了设计用于晶格缩减辅助多输入多输出（MIMO）检测器的最佳连续干扰消除（SIC）策略。为了在每个SIC检测阶段生成最佳MIMO符号估计，我们将借助晶格简化生成的所谓有效符号建模为联合高斯分布随机变量。但是，在减少晶格之后，有效符号变得相关并表现出非零均值。因此，我们得出了最佳最小均方误差（MMSE）SIC检测器，它在每个SIC检测阶段更新了有效符号的均值和方差。结果，提出的检测器实现了大约3 dB Eb / N0增益，并且性能接近最大似然检测器。
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