Multi-segment digital pre-distortion system and method based on support vector regression

A support vector regression and digital pre-distortion technology, applied in the field of digital pre-distortion, can solve problems such as difficult to achieve linearization effect, increase complexity and calculation amount, achieve fast digital pre-distortion processing process, reduce complexity, and improve parameters The effect of extraction speed

Active Publication Date: 2021-05-14
SOUTHEAST UNIV
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Problems solved by technology

The complexity and calculation amount of the traditional digital predistorter model will increase sharply with the deepening of power amplifier memory effect and nonlinear technology, which has certain limitations
For 5G signals with more complex characteristics, it is difficult for the traditional model to achieve a better linearization effect

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  • Multi-segment digital pre-distortion system and method based on support vector regression
  • Multi-segment digital pre-distortion system and method based on support vector regression
  • Multi-segment digital pre-distortion system and method based on support vector regression

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Embodiment Construction

[0037] The technical solution of the present invention will be further introduced below in combination with specific implementation methods and accompanying drawings.

[0038] The multi-segment digital pre-distortion system based on support vector regression described in the present invention includes a plurality of independent digital pre-distortion sub-modules corresponding to processing original input signals in different amplitude intervals. The digital predistorter models in different amplitude intervals are established by the method of support vector regression. The input signal and output signal of the measured power amplifier correspond to the output signal and input signal of the digital predistorter model respectively. By dividing the input signal at this time into different intervals according to the magnitude of the amplitude, the support vector regression method is used to establish the interval of the interval. The regression equation is used to obtain the behavi...

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Abstract

The invention discloses a multi-segment digital pre-distortion system and method based on support vector regression, and the method comprises the steps: carrying out the preprocessing of an input signal through a digital pre-distortion module, enabling the input signal to have a nonlinear characteristic opposite to that of a power amplifier; an output signal in a linear amplification relation with the original input signal is obtained through nonlinear amplification of the power amplifier, and finally linear amplification of the original input signal is achieved. In the process of establishing the digital pre-distortion model, namely establishing the reverse behavior model of the power amplifier, only the function relationship between input and output is concerned and can be regarded as a mathematical modeling problem, and the support vector machine provides a feasible scheme for establishing the behavior model of the power amplifier as an advanced machine learning method. Compared with a common digital pre-distortion method based on support vector regression, the method provided by the invention can improve the speed of pre-distortion module parameter extraction and signal digital pre-distortion processing while keeping the modeling and linearization precision not lower than that of the common digital pre-distortion method based on support vector regression.

Description

technical field [0001] The invention relates to the technical field of digital pre-distortion, in particular to a multi-segment digital pre-distortion system and method based on support vector regression. Background technique [0002] In modern communication systems, non-constant envelope modulation methods such as quadrature amplitude modulation and multi-channel broadband data transmission technologies such as wideband code multiple addressing and orthogonal frequency division multiplexing are widely used to make the signal have peak-average ratio characteristics. The inherent nonlinearity of RF power amplifiers has a stronger impact on such signals, resulting in more serious amplitude and phase distortion, which puts forward higher requirements on the linearity of the key device of RF power amplifiers. In addition, network throughput rate and transmission delay, as important indicators of 5G mobile communication, also put forward stricter requirements on the digital signa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/49H04L27/26H03F3/20H03F1/32
CPCH04L25/49H04L27/2695H03F1/3247H03F3/20
Inventor 余超綦琳陈鹏洪伟
Owner SOUTHEAST UNIV
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