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A Fractional Lower Order Statistics-Based MIMO Detection Method in Impulse Noise for Power Line Channel

机译:电力线信道脉冲噪声中基于分数低阶统计量的MIMO检测方法

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Impulse noise in power line communication (PLC) channel seriously degrades the performance of Multiple-Input Multiple-Output (MIMO) system. To remedy this problem, a MIMO detection method based on fractional lower order statistics (FLOS) for PLC channel with impulse noise is proposed in this paper. The alpha stable distribution is used to model impulse noise, and FLOS is applied to construct the criteria of MIMO detection. Then the optimal detection solution is obtained by recursive least squares algorithm. Finally, the transmitted signals in PLC MIMO system are restored with the obtained detection matrix. The proposed method does not require channel estimation and has low computational complexity. The simulation results show that the proposed method has a better PLC MIMO detection performance than the existing ones under impulsive noise environment.
机译:电力线通信(PLC)通道中的脉冲噪声会严重降低多输入多输出(MIMO)系统的性能。为了解决这个问题,本文提出了一种基于分数低阶统计量(FLOS)的脉冲噪声PLC信道MIMO检测方法。 alpha稳定分布用于建模脉冲噪声,FLOS用于构建MIMO检测标准。然后通过递推最小二乘算法获得最优的检测解。最后,利用获得的检测矩阵恢复PLC MIMO系统中的传输信号。所提出的方法不需要信道估计并且具有低的计算复杂度。仿真结果表明,该方法在脉冲噪声环境下具有比现有方法更好的PLC MIMO检测性能。

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