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Intelligent scene-oriented continuous learning digital pre-distortion system and method

A digital pre-distortion and intelligent scene technology, applied in the field of digital pre-distortion, can solve the problems of low efficiency of digital pre-distortion technology, achieve the effect of improving generalization performance, convergence speed and linearization performance

Pending Publication Date: 2022-06-28
SOUTHEAST UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to provide a continuous learning digital pre-distortion system and method for intelligent scenes, so as to solve the technical problem that the traditional digital pre-distortion technology is very inefficient

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  • Intelligent scene-oriented continuous learning digital pre-distortion system and method
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  • Intelligent scene-oriented continuous learning digital pre-distortion system and method

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Embodiment Construction

[0036] In order to better understand the purpose, structure and function of the present invention, a smart scene-oriented continuous learning digital predistortion system and method of the present invention will be described in further detail below with reference to the accompanying drawings.

[0037] The invention provides a continuous learning digital predistortion system oriented to intelligent scenarios, such as figure 1As shown, it includes a configuration adjustment module, a continuous learning digital predistortion module, a linearity check module, a training data storage module, a model coefficient extraction module and an objective function module; the configuration adjustment module changes the input signal configuration in real time according to user needs, and the input signal passes through Continuous learning of the digital predistortion module to obtain the predistortion signal, the predistortion signal is transmitted to the power amplifier to obtain the output ...

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Abstract

The invention discloses an intelligent scene-oriented continuous learning digital pre-distortion system and method. The system comprises a configuration adjustment module, a continuous learning digital pre-distortion module, a linearity check module, a training data storage module, a model coefficient extraction module and a target function module. The configuration adjusting module changes configuration of an input signal in real time, the input signal obtains a pre-distortion signal through continuous learning of the digital pre-distortion module, the pre-distortion signal is transmitted to the power amplifier to obtain an output signal, the feedback loop collects the output signal, and the output signal enters the linearity checking module to check the linearity. According to the method, the model coefficient updating requirement of the digital pre-distortion technology in an intelligent scene can be greatly reduced, so that the application cost of the digital pre-distortion technology is reduced.

Description

technical field [0001] The invention belongs to the technical field of digital predistortion, and in particular relates to a continuous learning digital predistortion system and method oriented to an intelligent scene. Background technique [0002] Future intelligent communication systems can adjust the transmitter configuration in real time according to user needs and changes in the radio environment, so as to utilize communication resources more flexibly. The dynamic changes of these configurations will directly affect the working state of the power amplifier in the transmitter. Like traditional transmitters, in order to ensure high efficiency, power amplifiers usually work in the nonlinear region, and the resulting nonlinear characteristics will lead to distortion of signal transmission, thereby affecting normal communication. [0003] Digital predistortion techniques have been widely used to compensate for the nonlinearity of power amplifiers. However, the traditional ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03F1/32G06N3/04G06N3/08
CPCH03F1/3247G06N3/04G06N3/08
Inventor 余超郁煜铖陈鹏
Owner SOUTHEAST UNIV
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