一种识别低压电力线载波通信系统中随机脉冲噪声的新方法

目的从电力线载波通信系统中提取随机脉冲噪声并分析其来源。方法建立一个简单的检测随机噪声的测试系统。结果 FSV方法可以成功地识别热水壶在电力线上造成的随机脉冲噪声,同时也证明了统计分析的方法对于识别随机脉冲噪声效果不佳。结论可以通过对MAFFSV方法结果设定阈值来识别低压电力线载波通信系统中的随机脉冲噪声,进而可以确定低压电力线网络拓扑结构的改变。

A Novel Method for Recognizing Asynchronous Impulsive Noise in Power Line Communication Systems

Objective To extract the asynchronous impulsive noise from the power communication line and obtain the source of particular kind of noise. Methods A simple measurement system was constructed to detect the asynchronous impulsive noises. Results The Feature Selective Validation ( FSV) method was able to successfully recognize the impulsive noise produced in the power line by the connection of a kettle. Meanwhile, the statistical analysis was proved useless in the recognition of asynchronous impulsive noise. Conclusion The asynchronous impulsive noise in the low-voltage power communication line could be recognized by setting threshold values for the results of MAF-FSV method, and the change in the topological structure of the low-voltage power line network could then be determined.