Modeling And Optimization Of Low Voltage Powerline Noise And Implementation On FPGA

With the concepts of smart grid and Internet of things being put forward,power line communication technology has been widely concerned by experts and scholars.As the largest physical network,the low-voltage power line with frequency range up to 30 MHz,it becomes one of the important solutions to the "last kilometer problem".In this context,the research on power line communication has become a hot spot at present,which has a broad development prospect and application value.However,power line is not an ideal communication medium,and its channel characteristics are complex and changeable.The fading,impedance and noise will affect the performance of power line communication.Therefore,it is necessary to study these characteristics in depth,then we can popularize and apply power line communication technology.In this thesis,a noise hardware implementation method and a noise modeling method are studied on the basis of the existing theoretical achievements.From the angle of engineering application and theoretical modeling,they excavate the noise of power line in depth,and lay a foundation for the theoretical research and extensive application of power line communication technology.Firstly,this thesis briefly introduces the low-voltage power line communication technology and noise interference,and analyzes the traditional five classification of noise and its related characteristics,and then introduces several main noise modeling methods at present: ARMA background noise modeling,Middleton Class A impulsive noise modeling and MARKOV impulsive noise modeling.Then,according to the classical Markov-Middleton impulsive noise model,this thesis proposes an improved noise implementation method,which is based on the lack of standardized hardware implementation methods at present.Using System Generator and Vivado simulation tools,an improved noise implementation method is proposed in this thesis.The impolsive noise model is realized by FPGA.The results of PicoScope and actual power line communication process show that the proposed method could restore the correlation characteristics of power line impulsive noise better.Finally,limitations of noise modeling method in is founded in dealing with complex power line consumption scenarios.In this thesis,a multi-source noise modeling method based on the complex topology of power line network is proposed,which starts from the source and combines the multi-node channel modeling to model the noise,the noise of each source is synthesized at the receiving end,and then the corresponding noise model is realized by FPGA.The experimental results show that the noise modeling method in this thesis can avoid the shortcomings of the traditional noise model,and can better reflect the characteristics of power line noise in complex electricity scenes.There is a wider range of applicability and greater practical value.