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Imitating method of power amplifier and imitating device of power amplifier

A technology of power amplifier and simulation method, which is applied in improving amplifiers to reduce nonlinear distortion, neural learning methods, biological neural network models, etc., and can solve problems such as easy convergence and slow convergence speed

Inactive Publication Date: 2015-02-04
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing BP neural network-based power amplifier simulation method in the training process, such as slow convergence speed and easy convergence to a local minimum, and provide a simulation of a power amplifier with a faster training convergence speed. Method and power amplifier simulation device

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  • Imitating method of power amplifier and imitating device of power amplifier
  • Imitating method of power amplifier and imitating device of power amplifier
  • Imitating method of power amplifier and imitating device of power amplifier

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Embodiment Construction

[0059] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0060] The present invention improves the traditional BP neural network by adopting the Levenberg-Marquardt (LM) learning algorithm and adding The training algorithm of the momentum factor updates the weights and thresholds of the model to speed up the establishment of the model and prevent the model from falling into a local minimum.

[0061] The improved BP neural network that the present invention adopts, the output function of its hidden layer is:

[0062] y h ( t ) = 2 1 + e - 2 z ( t ) ...

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Abstract

The invention discloses an imitating method of a power amplifier and an imitating device of the power amplifier. The method adopts an improved back propagation (BP) neural network to imitate the power amplifier. The improved BP neural network adopts Levenberg-marquardt (LM) learning algorithm and training algorithm with momentum factors added to update weight values and threshold values of a model, and therefore model building speed is effectively increased and the model is prevented from being sunk into a local minimum. Disclosed is the imitating device of the power amplifier further. The improved BP neural network is adopted. The imitating device of the power amplifier is further used for building a power amplifier imitator with a parallel structure. Imitation and training are free of mutual interference. Working efficiency of the power amplifier imitator is improved. Compared with the prior art, the imitating method of the power amplifier and the imitating device of the power amplifier are quick in training convergence speed and good in instantaneity.

Description

technical field [0001] The invention relates to a method for simulating a power amplifier and a device for simulating the power amplifier. A computer is used to simulate the input-output relationship of the actual power amplifier. Background technique [0002] With the rapid development of wireless communication technology, there is an urgent need to increase the capacity and rate of wireless mobile communication, which puts forward higher requirements for the linearity of power amplifiers (PA, Power Amplifier). For example, the predistortion technology, one of the mainstream technologies of the current PA linearization technology, its main principle is to introduce a module in front of the PA—the predistorter (PD, Predistorter), which is opposite to the characteristics of the PA, so that the entire system (PD + The input and output of PA) have a linear relationship, thus realizing the linearization of PA. The performance of the predistorter is determined by the degree of p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03F1/32G06N3/08
Inventor 王成华陈庆霆刘冰朱德伟龚琳谢中山
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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