Study On Several Algorithms In Power Line Communication

Power line communication (PLC), that widely used in electric control and home network, is a way of communication which depends on the electricity distribution network. Moreover, with the advantage of widespread, low-cost and convenient..., PLC becomes a research hotspot. However, the communication environment of impedance mismatch and complex noise make the signal transmission difficult. Therefore, channel estimation, coding and denoising method are studied to improve the reliability of the communication system.In this thesis, several methods such as PLC channel estimation are studied. The main work are listed below:(1) Modeling the power line channel based on the model of physical signal transmission character and transmission line theory separately, colored background noise based on AR model, burst impulsive noise based on the model of Bernoulli-Gaussian and α stable distribution separately. Build the PLC simulation system based on OFDM technology.(2) Impose the denoising algorithm based on the compressed sensing (CS). From the simulation, we can see it has better performance than the traditional threshold algorithm.(3) Put forward the channel estimation algorithm based on CS similarly. Simulation shows that this method not only accurately estimates the channel, but increases the efficiency of the power line communication to some extent.(4) Propose an improved PLC adaptive scheduling decoding algorithm. Simulation shows that the novel algorithm has better performance and faster convergence than the traditional decoding algorithms.