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A digital predistortion system and method based on direct learning structure

A technology of digital predistortion and predistorter, applied in general control system, control/regulation system, improving amplifier to reduce nonlinear distortion, etc., can solve the problems of small measurement error, limited precision of predistortion coefficient, slow convergence, etc. Achieve the effect of suppressing nonlinear distortion

Active Publication Date: 2021-11-05
XIAMEN UNIV
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Problems solved by technology

However, in practical applications, due to the bandwidth limitation of the feedback loop and the measurement error caused by noise, the accuracy of estimating the predistortion coefficient using the indirect learning structure is limited
The direct learning structure directly calculates the error between the original input signal of the pre-distortion system and the output signal of the power amplifier, the measurement error is small, and a more accurate pre-distortion model can be obtained, but usually it is necessary to fit the model of the power amplifier first, and then pass the complex gradient Calculating and finding the coefficients of the pre-distortion model, the convergence is slow, and it is difficult to be practically applied in engineering

Method used

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  • A digital predistortion system and method based on direct learning structure
  • A digital predistortion system and method based on direct learning structure
  • A digital predistortion system and method based on direct learning structure

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Embodiment Construction

[0043] Such as figure 1 As shown, the present invention discloses a digital predistortion system based on a direct learning structure, which includes a first down-conversion filter module 1, a second down-conversion filter module 6, a dual-band two-dimensional predistorter module 2, and a predistorter A coefficient training module 8 , a power amplifier fitting module 7 , an up-conversion module 3 , a synthesizer module 4 , and a power amplifier module 5 .

[0044] Wherein, the first down-conversion filtering module 1 and the second down-conversion filtering module 6 are provided with an input terminal and two output terminals, and the two output terminals are respectively the first output terminal and the second output terminal; the dual-band two-dimensional pre-distortion The converter module 2 includes a first pre-distorter unit 21 and a second pre-distorter unit 22; the up-conversion module 3 includes a first up-conversion unit 31 and a second up-conversion unit 32.

[004...

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Abstract

The present invention relates to a digital pre-distortion system and method based on a direct learning structure, which respectively compensates the output signals of a dual-band signal transmitter in two bands through power amplifier model fitting, power amplifier model inversion, and iterative calculation of pre-distortion coefficients. Non-linear distortion such as in-band distortion and intermodulation distortion, thus effectively suppressing the nonlinear distortion of the power amplifier.

Description

technical field [0001] The invention relates to the technical field of power amplifier linearization of a communication system, in particular to a digital predistortion system and method based on a direct learning structure. Background technique [0002] A power amplifier is an essential core device in a wireless communication system. Power amplifier linearization technology is one of the key technologies in wireless communication systems. The digital predistortion technology has become the current mainstream power amplifier linearization technology due to its characteristics of strong flexibility, high stability, and low cost. [0003] With the commercialization of 5G, the application of dual-band power amplifiers is becoming more and more widespread, and its nonlinear characteristics are more obvious. Due to the mutual modulation effect of high-band and low-band signals and the increase of overall signal bandwidth, two-dimensional digital pre-distortion is required. Tech...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03F1/32G05B13/04G05B13/02
CPCG05B13/0265G05B13/042H03F1/3258
Inventor 吴晓芳汪琪黄劲夫
Owner XIAMEN UNIV
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