Power amplifier and predistortion model generation method and device thereof

Abstract

The embodiment of the invention provides a power amplifier and a predistortion model generation method and device thereof. The method comprises the following steps: screening values of model parameters of a power amplifier model by utilizing a genetic algorithm, and determining a model input matrix of the power amplifier model, wherein the power amplifier model is a generalized memory polynomial model; and determining a model coefficient of the power amplifier model based on the model input matrix and training data. The embodiment of the invention provides a power amplifier and a predistortion model generation method and device thereof. Key items influencing the modeling precision of the power amplifier in the generalized memory polynomial model are screened and redundant items are removed by using a genetic algorithm, so that the model complexity is reduced and hardware resources are saved on the premise of ensuring the modeling precision, and the power consumption is reduced.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for generating a power amplifier and a predistortion model thereof. Background technique [0002] As the largest energy-consuming device in the base station, the RF power amplifier's efficiency and linearity directly affect the power consumption and the quality of the transmitted signal of the base station. In order to reduce the energy consumption of the base station and improve the quality of the transmitted signal, the digital pre-distortion (Digital Pre-distortion, DPD) technology is often used to correct the linearity of the power amplifier. [0003] In the prior art, the key to DPD technology is to obtain an accurate power amplifier model. The General Memory Polynomial (GMP) model is one of the commonly used models for power amplifier models. The GMP model is characterized by its high modeling accuracy and easy hardware implementation And...

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Problems solved by technology

[0004] However, as the demand for ultra-high-speed transmission increases, the bandwidth of the modulated signal increases, and the ultra-wideband signal causes a sharp increase in the memory effect of the power amplifier. When using the GMP model to model a power amplifier with strong memory, in order to accurately fit the power Amplifier behavior, the value of the model parameter used to represent the memory effect in the model must be increased

The increase of the memory depth of the GMP model will increase the size of the model input matrix and the condition number of the matrix, which will affect the stability of the model coefficient solution, reduce the linear performance of DPD, and the hardware resources used to realize the DPD technology in the product will also increase accordingly. , increase product power consumption

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