A method for obtaining digital predistortion parameters and a predistortion system

Abstract

The present application relates to the field of digital pre-distortion processing. Disclosed in an embodiment of the present application are a pre-distortion parameter obtaining method and pre-distortion system for simplifying calculating complexity of a model while achieving good signal processing effect. The method comprises: after the beginning of periodic filtering processing, obtaining a pre-distorted signal after pre-distortion processing and a first feedback signal after power amplification (S101); obtaining a second feedback signal by eliminating the rated linear gain of the first feedback signal (S102); determining a pre-distortion parameter according to a matrix formed by the second feedback signal and a matrix formed by the pre-distorted signal (S103); updating the pre-distortion parameter index table according to the determined pre-distortion parameter (104).

Description

technical field [0001] The invention relates to the field of digital pre-distortion processing, in particular to a method for obtaining digital pre-distortion parameters and a pre-distortion system. Background technique [0002] With the development of modern communication technology, more and more attention has been paid to various nonlinear characteristics of power amplifiers, and the behavior model has become a research hotspot in the field of microwave circuits. Compared with the traditional transistor-level circuit model, the behavior model greatly simplifies the analysis and calculation of the model, and maintains sufficient accuracy of nonlinear circuit analysis, making it especially suitable for performance analysis of broadband digital signal systems; therefore, in It has good application prospects in the research of large-scale integrated circuits and pre-distortion technology. For broadband communication systems, the traditional nonlinear model is no longer appli...

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Problems solved by technology

However, the two models cannot completely describe the nonlinear characteristics of the power amplifier, especially it is difficult to accurately represent the envelope memory effect of the power amplifier; in addition, the Wiener model and the Hammerstein model are not linear equations for the solution of model parameters , it is difficult to extract the parameters of the model

MP (memory polynomial) is another commonly used behavioral model, which can be regarded as an extended Hammerstein model, but sometimes the required model accuracy cannot be obtained

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