均匀分布与反馈补偿优化脉冲噪声抑制

Impulsive Noise Mitigation Optimized by Uniform Distribution and Feedback Compensation

针对电力线通信中对重度脉冲噪声抑制性能不佳与非线性失真严重的问题,提出了一种基于均匀分布优化和反馈补偿的电力线脉冲噪声抑制算法。该算法首先将发射信号的瑞利分布进行分析,并将其峰值转换为均匀分布峰值,以降低信号的峰值平均功率比(PAPR),然后针对非线性置零信号设计了一种基于反馈补偿网络的重度脉冲噪声再抑制方法,进一步提高算法对脉冲噪声的抗干扰能力,最后,通过频域重构补偿过程对算法在噪声抑制过程中引起的非线性失真进行补偿,以保持原信号特征。仿真实验结果表明,算法能够有效抑制电力线通信中的重度脉冲噪声,降低了电力线通信误比特率,从而验证了算法的有效性。

Aiming at the problem of poor performance and serious nonlinear distortion in power line communication,a new method based on uniform distribution optimization and feedback compensation is proposed.Firstly,the Rayleigh distribution of the transmitted signal is analyzed and its peak value is converted to a uniformly distributed peak value to reduce the peak-to-average power ratio(PAPR)of the signal.And then,the heavy impulse noise is suppressed again based on the feedback compensation.Finally,nonlinear distortion caused by noise suppression is reduced by frequency domain reconstruction.Simulation results show that this method can effectively suppress the heavy impulse noise and reduce the bit error rate of power line communication,thus verifying the effectiveness of the algorithm.