Channel Noise Modeling For Low-Voltage Power Line Carrier Communication Simulation Study

Power line carrier communication technology is a special communication method that uses a large number of power lines in the power grid as communication media to realize signal transmission and data exchange.Among them,low-voltage power line carrier communication technology is widely used in smart grid power information collection systems and home networks..There are many types of loads on low-voltage power lines,and the loads change rapidly,and the working conditions are also very complex,which leads to serious noise interference on the channel and seriously affects the communication quality of power line carrier communication.In order to better study and grasp the characteristics of the low-voltage power line channel and noise signal,and improve the anti-interference ability of the power line communication system,this paper analyzes the impedance characteristics,attenuation characteristics and noise characteristics of the low-voltage power line carrier communication channel in the relevant frequency band.Based on this,building a low-voltage power line channel noise model and designing an adaptive filter for noise signals has important research significance and application value for improving the antiinterference ability of power line carrier communication systems in smart grids and improving the quality of data transmission.The research work of this paper is as follows:(1)Following the channel characteristics of Multiple Input and Multiple Outputs Power Line Communication(MIMO-PLC),a complete MIMO-PLC communication system model including the transmitter and receiver is constructed.The channel system model is Subsequent channel noise modeling and adaptive filter design build a communication system platform.(2)Using the noise classification modeling method and the traditional statistical modeling method to model the low-voltage power line carrier communication channel noise and analyze the model effect.In the experiment,it is found that the conventional channel noise classification modeling method is to build models according to different types of noise,which makes the construction of the channel noise model more cumbersome,and also causes error accumulation in the modeling process.Although the traditional statistical modeling method has a good fitting effect in the frequency domain waveform part,the fitting accuracy in the time domain waveform part needs to be improved.In order to solve the above problems,this paper uses the correlation of MIMO-PLC channel noise,takes the channel model of MIMO-PLC system as the communication system platform,and adopts the least squares support vector machine algorithm,long-term short-term memory artificial neural network algorithm and two-way long-term short-term memory The artificial neural network algorithm(Bidirectional Long Short-Term Memory,BiLSTM)performs overall modeling of the noise in the channel of the MIMO-PLC system,sets the model parameters and processes the experimental data,and finally sets the noise fitting effect of the noise model with three evaluation indicators Compare and evaluate.Through the analysis of the experimental results,it is verified that the channel noise model based on BiLSTM has a better fitting degree,and the overall modeling method can reduce the complexity of the noise model and reduce the modeling error.(3)In order to further improve the parameter sensitivity of the BiLSTM noise model,make it more fully utilize the noise data.In this paper,the variational mode decomposition model and the sparrow search algorithm are introduced in turn,the parameters of the BiLSTM model are optimized,the noise model is constructed,and the experimental results are compared according to the evaluation indicators.In order to verify the effectiveness and accuracy of the noise model,this paper adds a variable step size LMS filter module to the channel of the MIMO-PLC system,and uses an adaptive filter to avoid separate design of filters according to different types of noise,thereby reducing the burden on the receiving end of the system.Design workload.Finally,it is verified by experiments that the optimized model can improve the parameter sensitivity of the model,effectively use the component information in the noise signal,and accurately model the noise signal in the channel of the MIMO-PLC system.At the same time,it also shows that the variable step size LMS filter can reduce the bit error rate of MIMO-PLC system and improve the communication quality of MIMO-PLC system.