Power Line Multipath Transmission Model Parameters Based on Hybrid Particle Swarm Optimization Algorithm

On the basis of the existing power line multipath transmission model, as the 0.5~20MHz actual low carrier communication channel voltage measurement data for the sample, this article makes the use of the fish hybrid particle swarm algorithm to finish multi-parameter identification. It introduces the location, speed and fitness of the PSO into the AFSA, meanwhile dynamically changes the visual and step of the AFSA, which simplifies parameter determination and improves optimization accuracy. Test and simulation results show that using this hybrid algorithm identifies the power line channel model, which can overcome the dispersion of model parameters, improve the fitting accuracy and shorten the identification time.