Cascade digital pre-distortion correction method and system for communication system

Abstract

The invention relates to the field of communication, in particular to a cascade digital pre-distortion correction method and system of a communication system. The method comprises the following steps: S1, configuring a first-stage polynomial model, a second-stage polynomial model and a solution iteration threshold value in advance; s2, acquiring a baseband signal and a feedback signal; s3, judging whether the number of resolving times of the first-stage polynomial model is smaller than a resolving iteration threshold value or not; s4, generating a pre-distortion coefficient by adopting a first-stage polynomial model; s5, updating the pre-distortion coefficient by adopting a second-stage polynomial model; s6, generating a lookup table according to the pre-distortion coefficient; step S7, generating a pre-distortion signal; and S8, inputting the pre-distortion signal and the baseband signal into a power amplifier together. The technical scheme of the invention has the beneficial effects that the cascade digital pre-distortion correction method and system of the communication system are provided, the nonlinear correction effect of a power amplifier can be remarkably improved, and the iterative solution speed is accelerated.

Description

technical field [0001] The present invention relates to the communication field, in particular to a cascaded digital pre-distortion correction method and system for a communication system. Background technique [0002] With the popularization of 4G and 5G communication equipment, the performance requirements for base station radio frequency equipment are gradually increasing. The power of the current radio frequency devices is increasing, which puts forward higher requirements on the correction capability of the digital pre-distortion module. [0003] The existing digital predistortion model is mainly based on the general memory polynomial model with nonlinear substrates such as B-splines, and generates LUT (look up table) by collecting baseband signals and feedback signals for modeling and calculation, and then baseband signals Multiply by LUT to get digitally predistorted signal. In order to improve the correction performance, this method needs to increase the memory dep...

AI Technical Summary

Problems solved by technology

In order to improve the correction performance, this method needs to increase the memory depth and the number of nonlinear bases, which leads to a great increase in model complexity, slow iteration speed, increased hardware area and power consumption, and poor real-time correction.

Images