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Method for modeling synchronous double-frequency power amplifier based on real number time delay neural network

A technology of power amplifiers and neural network models, applied in biological neural network models, neural learning methods, instruments, etc., can solve the problems of fewer dual-frequency power amplifiers, increase the nonlinear effect of components, and realize inconvenience, and achieve a learning method Flexible, easy to implement, and less complex effects

Active Publication Date: 2014-04-16
TSINGHUA UNIV
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Problems solved by technology

[0008] However, most of the current power amplifier modeling is for single-frequency power amplifiers, that is, for single-input and single-output power amplifier modeling, and less for dual-frequency power amplifiers, that is, for multiple-input and multiple-output power amplifier modeling
Because the signals of the two frequency bands in the dual-frequency power amplifier will have mutual influence (such as inter-band cross modulation) that the single-frequency power amplifier has never encountered, which increases the nonlinear effect of the component. The output model description is more complex than single-input and single-output, which is inconvenient to implement and has low precision

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  • Method for modeling synchronous double-frequency power amplifier based on real number time delay neural network
  • Method for modeling synchronous double-frequency power amplifier based on real number time delay neural network
  • Method for modeling synchronous double-frequency power amplifier based on real number time delay neural network

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Embodiment 1

[0040] refer to figure 1 , showing the first embodiment of the modeling method of the synchronous dual-frequency power amplifier based on the neural network model of the present invention, comprising the following steps:

[0041] Step 101, establishing a real number delay neural network of a synchronous dual-frequency power amplifier.

[0042] refer to figure 2, which shows the established real delay neural network model of synchronous dual-frequency power amplifier. The neural network in this model has a three-layer feed-forward structure, which are input layer, hidden layer and output layer respectively. The reverse rebroadcast algorithm is used to Approximating the nonlinear characteristics of synchronous dual-band power amplifiers. The real delay structure is used to describe the memory effect of a synchronous dual-band power amplifier.

[0043] Assuming that the baseband input signal of the synchronous dual-band power amplifier is used by I in1 (n), Q in1 (n), I in...

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Abstract

The invention provides a method for modeling a synchronous double-frequency power amplifier based on a real number time delay neural network, which comprises the following steps of: establishing a real number time delay neural network model of the synchronous double-frequency power amplifier; taking two paths of broadband multi-carrier signals as baseband input signals of the synchronous double-frequency power amplifier; acquiring input and output data of the synchronous double-frequency power amplifier; and determining the parameter of the real number time delay neural network model and training the model. The nonlinear characteristic and memory effect of the synchronous double-frequency power amplifier can be well described, and the method for modeling the synchronous double-frequency power amplifier based on the real number time delay neural network is convenient to implement, and has low complexity and high convergence rate and accuracy.

Description

technical field [0001] The invention relates to a method for establishing a behavior model of a dual-frequency power amplifier, in particular to a modeling method for a synchronous dual-frequency power amplifier based on a real number delay neural network. Background technique [0002] With the continuous growth of wireless communication system services, limited spectrum resources become increasingly crowded. In order to improve spectrum utilization efficiency, various modulation techniques have emerged one after another. Although the new modulation method improves the utilization rate of spectrum, it also puts forward higher requirements on the RF front end. Most of these modulation methods are non-constant envelope, and the higher the efficiency of the modulation method, the larger the peak-to-average ratio of the signal. In order to make the power amplifier work with high efficiency, the power amplifier mostly works in the saturation region or even the cut-off region. Fo...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/08
Inventor 黄梓宏陈文华冯正和
Owner TSINGHUA UNIV
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