基于EMD的ICA方法在电力载波通信信号提取中的应用

Extract Signals of Power Line Communication by a Novel Method Based on EMD and ICA

提出了1种结合经验模态分解的独立分量分析方法:首先对采样得到的1路电网电压信号进行经验模态分解,得到1组固有模态函数;通过计算它们的互相关系数,找出独立性最强的几个,接着用独立分量分析的方法处理这几个固有模态函数与原采样到的电压信号,最后得到1组彼此独立的独立分量,从而提取出通信信号。该方法综合了经验模态分解和独立分量分析的各自的优点,克服了独立分量分析不能对单一采样信号进行分析的缺点,利用独立分量分析方法提高了信号提取的效果。实验表明:文中提出的方法是有效且可行的。

In this paper, a novel method to gain communication signals from the power line which based on empirical mode decomposition （EMD） and independent component analysis （ICA） is presented. Gain a set of the intrinsic mode function （IMF） by using EMD to decompose the voltage signals which had been acquired from the power line. Secondly, seek those IMFs whose have the minimum correlative coefficient. Deal with those IMFs and the Voltage signals using ICA, and can obtain a lot of independent component. So the communication signals are pick-up. The method integrates the virtue of EMD and ICA and overcome the lack of ICA which cannot decompose single signal. Simulation results reveal that the proposed the method of EMD and ICA can effectively decompose mixed signals, can precisely extract communication signals of the power line communication.