基于SLM的消隐非线性抑制电力线通信系统脉冲噪声的优化门限分析
Analysis of Optimized Threshold with SLM based Blanking Non-Linearity for Impulsive Noise Reduction in Power Line Communication Systems
摘要：
电力线信道上的高幅度脉冲噪声严重影响了正交频分复用（OFDM）系统的性能。降低IN的最简单方法之一是在OFDM解调器之前添加消隐非线性处理器。在这方面，当在接收机处应用消隐非线性时，在发射机之前应用于OFDM信号的选择性映射（SLM）不仅降低了峰均功率比（PAPR），而且还增加了所得到的信噪比（SNR）。本文强调了SLM的另一个优点，基于IN减少，这是减少对用于消隐非线性阈值的依赖性。仿真结果表明，在SLM方案中，对于大于或等于64的相位矢量，实现最大SNR的最佳阈值是恒定的。如果使用优化的阈值计算方法，则与未修改的系统（即，没有实现SLM）相比，SLM OFDM的输出SNR将导致高达8.6dB的SNR增益。此外，通过使用SLM，我们不仅得到了低峰值功率的优点，而且还需要计算优化阈值，从而减少了额外的计算。
英文摘要：
High amplitude impulsive noise (IN) occurrence over power line channels severely degrades the performance of Orthogonal Frequency Division Multiplexing (OFDM)systems. One of the simplest methods to reduce IN is to precede the OFDM demodulator with a blanking non-linearity processor. In this respect, Selective Mapping (SLM) applied to an OFDM signal before the transmitter does not only reduce Peak-to-Average Power Ratio (PAPR) but also increases the resulting Signal-to-Noise Ratio (SNR) when blanking nonlinearity is applied at the receiver. This paper highlights another advantage of SLM based IN reduction, which is the reduced dependency on threshold used for blanking nonlinearity. The simulation results show that the optimal threshold to achieve maximum SNR is found to be constant for phase vectors greater than or equal to 64 in the SLM scheme. If the optimized threshold calculation method is used, the output SNR with SLM OFDM will result in SNR gains of up to 8.6dB compared to the unmodified system, i.e. without implementing SLM. Moreover, by using SLM, we not only get the advantage of low peak power, but also the need to calculate optimized threshold is eliminated, thereby reducing the additional computation.
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