Feature Extraction of the Noise in L-PLC
This paper investigates chaotic characteristics of the noise in Low voltage Power Line Communication (L-PLC) system. Firstly, the negative effect of measurement noise (Mnoise)is studied and a wavelet transform denoise algorithm is adopted to restraint M-noise. Secondly, the largest Lyapunov exponent and the correlation dimension of the denoised and original time series are calculated. The results show that the method of wavelet denoise can restraint M-noise while maintaining the chaotic characteristics of the observed series not changed. Further more, the effect of the sampling method including the sampling circuit design, sampling frequency as well as number of sampling date to the analysis result is discussed. Finally, the meaningful conclusions, L-PLC noise is the shortterm predictable and 4 independent variables are at least needed to build a mathematics model of L-PLC system, are given based on the calculating results.
lower voltage power line communication wavelet transform chaos largest lyapunov exponent correlation dimension
Zhenchao Wang Huiran Hou Yutao Gan
College of Electronic and Information Engineering HeBei University BaoDing, HeBei Province, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）