Amplifier digital pre-distortion device and method based on dynamic fuzzy neural network

Abstract

The invention discloses an amplifier digital pre-distortion device based on a dynamic fuzzy neural network. The amplifier digital pre-distortion device comprises a digital pre-distortion device, a digital analog converter, a broadband quadrature modulator, a power amplifier, an attenuation coupler, a broadband quadrature demodulator, an analog digital converter and a pre-distortion device training module. Dynamic fuzzy neural network pre-distortion processing is conducted on an inputted digital baseband signal through the digital pre-distortion device, coupling, quadrature demodulation and analog digital conversion are conducted on an analog baseband signal outputted by the power amplifier through the attenuation coupler, the broadband quadrature demodulator, the analog digital converter respectively, and then an outputted digital baseband signal is generated. The inputted digital baseband signal and the outputted digital baseband signal are synchronously inputted into the pre-distortion device training module, and the pre-distortion device training module obtains a dynamic fuzzy neural network module parameter after carrying out parameter training through an online self-organized learning algorithm and sends the dynamic fuzzy neural network module parameter to the digital pre-distortion device. The invention further provides an amplifier digital pre-distortion method. By means of the amplifier digital pre-distortion device and method, the advantages of a fuzzy system and the advantages of a neural network are combined, dynamic adjustment can be achieved according to the complexity of a non-linear system, implementation is easy, and the non-linear characteristic and the memory effect of the power amplifier can be well compensated for.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a power amplifier digital pre-distortion device and method based on a dynamic fuzzy neural network. Background technique [0002] With the wide application of the 3rd generation wireless mobile communication system and the development of the 4th generation wireless mobile communication system, its data traffic has increased sharply and spectrum resources have become increasingly scarce, and these communication systems mostly use broadband signals with a peak-to-average ratio. When these When the broadband signal excites the RF power amplifier, the power amplifier presents relatively complex nonlinear characteristics and is accompanied by memory effects. In recent years, the research and application of power amplifier linearization technology has become more and more extensive. The commonly used linearization technologies include feedforward method, feedback method, power c...

AI Technical Summary

Problems solved by technology

However, the existing pre-distortion scheme model has a fixed structure, cannot be adjusted dynamically, and the adaptive algorithm has over-fitting, which is complicated to implement.

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