电力线中基于幂迭代ICA的脉冲噪声抑制方法研究

Research on power line impulse noise suppression method based on power iterative ICA

针对电力线通信中的α脉冲噪声影响,以及传统的噪声抑制算法受限于噪声的先验信息的问题,提出一种基于幂迭代的快速独立成分分析算法(PowerICA)。在此工作中,首先通过加权处理构建伪观测信号,将单通道的盲分离模型转换为多通道正定模型;然后利用提出的盲分离算法进行噪声和源信号分离工作;最后仿真验证了提出算法的有效性。实验研究分析表明,提出的算法比FastICA算法分离效果更好,分离更稳定,所需要的时间也更少,提高了通信信号处理的实时性。

In order to eliminate the influence ofαimpulse noise in power line communication and deal with the limitation of the prior information of noise in the traditional noise suppression algorithms,a fast independent component analysis(PowerICA)algorithm based on power iteration is proposed in this paper.Firstly,the pseudo⁃observation signal is constructed by weighted processing,the single⁃channel blind separation model is transformed into the multi⁃channel positive definite model,and then the proposed blind separation algorithm is used to separate the noise and source signals.The effectiveness of the proposed algorithm was verified by simulation.The experimental results show that the proposed algorithm has better separation effect,more stable separation and less implementation time than FastICA algorithm,which improves the real⁃time performance of communication signal processing.