The invention relates to the field of power line channel modeling, in particular to a power line channel modeling method,
system, equipment and medium, power line
channel data is actually measured and collected and preprocessed, channel characteristics are extracted, parameters such as
characteristic impedance and
propagation constant of a power line are calculated by using a
transmission line theory, and the power line channel is modeled. Constructing an enhanced conditional
generative adversarial network comprising a generator and a
discriminator, inputting parameters obtained by theoretical calculation of a
transmission line as conditional information in a training process, optimizing structures and loss functions of the generator and the
discriminator, enabling the generator to generate a high-quality analog channel sample, fusing a
deep learning model with a
transmission line theoretical model, and obtaining a high-quality analog channel sample; according to the method, a mixed channel model is formed,
model parameters are alternately trained and optimized, accurate prediction of transmission characteristics of the power line channel is realized, complex characteristics of the power line channel can be effectively modeled, and a reliable basis is provided for design optimization of a
power line communication system.