Extract Signals of Power Line Communication by a Novel Method Based on EMD and ICA
Extract Signals of Power Line Communication by a Novel Method Based on EMD and ICA
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发表时间：
2007
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通讯作者：
Li Hong
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作者：
Li Hong
提出了一种基于经验模式分解(EMD)和独立分量分析(ICA)的电力线通信信号提取方法。利用EMD对电力线电压信号进行分解，得到一组固有模式函数(IMF)。其次，寻找相关系数最小的IMF。利用独立分量分析对这些分量和电压信号进行处理，可以得到大量的独立分量。因此，通信信号被拾取。该方法综合了经验模式分解和独立分量分析的优点，克服了独立分量分析不能分解单个信号的不足。仿真结果表明，本文提出的EMD和ICA方法能有效分解混合信号，能够准确提取电力线通信中的通信信号。
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.