Research On Channel Modeling Of Low Power Line Communication

The low-voltage power line communication (L-PLC) channel is a complicated nonlinear finite-dimensional dynamical system and it is controlled by some determinative regulations. It is important to research the characteristics of L-PLC channel and estabilish the channel model for L-PLC technology. In this paper, chaos theory is applied to research the characteristics of L-PLC channel. The main works and research results of this paper are following:1. A lot of experimental data are collected by data measurement system. The frequency signal isolated and the time series are measured from lower power line by oscilloscopes directly.2. The chaotic characteristics value of experimental time series are calculated. The result proves that the timse series measured from L-PLC channel are weak chaotic. Therefore the channel is chaotic, too.3. Support Vector Machines (SVM) is used to predict the chaotic time series of the channel of L-PLC. And then the predition of the characteristics of L-PLC cahnnel is realized. The influences of the parameters of SVM on the predition are also discussed. The relationships between the parameters and the specific steps of prediction are summarize.4. The embedding dimensions and time delays are calculated and then the phase space is reconstructed. In the reconstructed phase space, Genetic Programming(GP) with strong global analytical ability is used in modeling of measured time series.