HPLC channel monitoring and analysis based on improved bispectrum adaptive power regulation algorithm model

Abstract Aiming at the problems of signal power loss and poor channel equalization in high power line communication (HPLC), an improved bispectrum adaptive power regulation algorithm model is proposed. The algorithm uses bispectral quadratic characteristic model to establish a sparse observation model. By constructing the signal parameter database, the communication signal processing problem is transformed into the estimation of signal motion parameters. At the same time, a new nonlinear adaptive power equalizer is adopted, which has faster convergence speed and lower steady-state mean square error, so that its coefficients can be adjusted and its performance can be adjusted to best adapt to the input signal. The results show that the proposed algorithm can resist noise interference in communication signal processing, and its communication delay is as low as 280ms.