The invention provides a communication power
amplifier digital pre-
distortion nonlinear
correction method and
system, and the method comprises the following steps: obtaining input and output
signal data of a power
amplifier, and carrying out the preprocessing of the input and output
signal data; according to the method, the
memory polynomial and the LSTM neural network are combined, the memory-free nonlinearity and the long-
term memory effect of the power
amplifier are processed respectively, a physical modeling and data driving architecture is formed, compared with a single-model and high-bandwidth scene, the EVM is reduced by 40%, the ACLR is improved by more than 5dB, and the pre-
distortion precision is improved; the RLS
algorithm is optimized by adopting the
genetic algorithm, and the optimal initial parameter is determined through global search, so that the problems of
local optimum and
slow convergence of the traditional RLS are solved, the convergence time is shortened from 50ms to 15ms or less, and the real-time requirement of high-speed communication is met; by designing a special
algorithm for the two types of models, the
memory polynomial parameter updating stability is improved by 30%, the neural network training speed is improved by two times, the
overall efficiency is improved by 50%, and the method is suitable for high-order modulation and
high peak-to-average ratio scenes.