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Noise Mitigation over Powerline Communication Using LDPC-Convolutional Code and Fusion of Mean and Median Filters

机译:利用LDPC卷积码和平均滤波器融合的电力线通信噪声缓解

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In this paper, we propose a new impulse noise mitigation approach in Orthogonal Frequency Division Multiplexing (OFDM) signals over Powerline communication (PLC) channel. Recently LDPC-Convolutional Code (LDPC-CC) has received much interest as an alternative to LDPC codes for its advantages and low complexity. The proposed approach exploits the redundancy introduced by LDPC-CC and cyclic prefix (CP) added to the OFDM transmitter to recover noisy coefficients. It is based on the fusion of median and mean of their neighboring coefficients using a window and a dynamic threshold calculated on the basis of noise variance and the peak value of the noise in the received signal. Detection of noisy coefficients takes into consideration the neighboring coefficients. The proposed technique presents a good robustness to impulse noise performance without adding a big complexity to the transmission system. Promising results have been achieved by the proposed approach when compared to filtering and coding techniques alone.
机译:在本文中,我们提出了在电力线通信(PLC)信道上的正交频分复用(OFDM)信号中的新脉冲噪声缓解方法。最近,LDPC - 卷积码(LDPC-CC)已经获得了许多利益,作为其优点和低复杂性的LDPC码的替代品。该方法利用LDPC-CC和循环前缀(CP)引入的冗余来恢复噪声系数。它基于使用窗口的邻近系数的中值和均值的融合和基于基于噪声方差计算的动态阈值以及接收信号中噪声的峰值的峰值。检测噪声系数考虑到相邻系数。该提出的技术呈现出耐噪声性能的良好稳健性,而不会向传输系统增加大复杂性。与单独的过滤和编码技术相比,所提出的方法已经实现了有希望的结果。

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