基于改进压缩感知的宽带低压PLC系统脉冲噪声抑制算法

An Impulse Noise Suppression Algorithm for Broadband Low-voltage PLC Systems via Modified Compressed Sensing

为解决宽带低压电力线通信(Power Line Communication,PLC)系统中脉冲噪声造成的通信性能不稳定、误比特率高的问题,针对正交频分复用的宽带低压PLC系统提出了一种改进压缩感知的脉冲噪声抑制算法,综合考虑了脉冲噪声恢复精度和时间复杂度去改进先验支撑集获取精度和压缩感知恢复步长。首先,利用改进的门限在接收端筛选出脉冲噪声的先验部分支撑集;其次,将频域的空子载波数据当作观测向量建立压缩感知方程,利用改进的稀疏度自适应匹配追踪算法恢复脉冲噪声;最后,通过减去恢复的脉冲噪声对接收信号进行抑制。仿真结果表明,与传统算法对比,所提算法具有较好的误比特率性能,并在较高信噪比时有更好的恢复性能。

To solve the instability of communication and high bit error rate(BER)in broadband low-voltage power line communication systems(LVPLCs),an impulse noise suppression algorithm via modified compressed sensing is proposed for an orthogonal frequency division multiplexing(OFDM)-based LVPLC.The recovery accuracy of impulse noise and the time complexity are considered to improve the accuracy of priori partial support acquisition and the step size of compressed sensing recovery.First,the partial support of impulse noise is filtered out at the receiver according to the modified threshold.Second,a compressed sensing equation is established by using date of null carrier in the frequency domain.And a modified sparsity adaptive match pursuit(SAMP)is proposed to recovery impulse noise.Finally,the received signal is suppressed through subtracting the recovered impulse noise.Simulation results show that the proposed algorithm has good BER performance and better recovery performance at higher signal-to-noise ratio by comparing with traditional algorithms.