Power amplifier frequency domain modeling method based on complex reverse neural network

A power amplifier and neural network technology, applied in the field of power amplifier frequency domain modeling, can solve the problem that the frequency domain characteristics of the system cannot be well described

Active Publication Date: 2019-12-20
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, the general real number neural network model cannot describe the frequency domain characteristics of the system well, and has certain limitations.

Method used

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  • Power amplifier frequency domain modeling method based on complex reverse neural network
  • Power amplifier frequency domain modeling method based on complex reverse neural network
  • Power amplifier frequency domain modeling method based on complex reverse neural network

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Embodiment Construction

[0087] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0088] figure 1 It is the "black box" model diagram of the power amplifier, in which the input signal x is a linear frequency modulation signal with an amplitude of 8.5V, and the output signal through the power amplifier is y with distortion. After simulating the power amplifier circuit using Pspice simulation software, 2000 input and output signals are collected as experimental data for modeling, and the sampling frequency is 100kHz.

[0089] The present invention has designed a kind of power amplifier frequency-domain modeling method based on complex reverse neural network, comprises the following steps:

[0090] Step 1: Acquire the input signal x(n) and output signal y(n) of the power amplifier in the time domain and convert them into frequency domain signals and in and respectively The real and imaginary parts of , and re...

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Abstract

The invention discloses a power amplifier frequency domain modeling method based on a complex reverse neural network. The power amplifier frequency domain modeling method includes the steps: firstly,collected time domain signals are converted into a frequency domain, then frequency domain data are modeled through the fitting effect of a complex reverse neural network, and after output data of theneural network are obtained, the frequency domain output data are converted into the time domain through inverse fast Fourier transform. Modeling is carried out on the power amplifier through the power amplifier frequency domain modeling method, so that the frequency domain error of the power amplifier is reduced to a great extent. According to the invention, the nonlinear characteristic and thememory effect of the power amplifier can be well described.

Description

technical field [0001] The invention belongs to the application field of nonlinear system analysis, and in particular relates to a power amplifier frequency domain modeling method. Background technique [0002] As an important module in the wireless communication system, the power amplifier's design plays a vital role in the increasingly complex wireless communication system. When the input power is small, the output of the power amplifier has better linearity, but in practice, in order to improve the efficiency, it usually works in a state close to the saturation point, and the nonlinearity of the power amplifier will become more serious at this time. At the same time, the power amplifier has a memory effect due to the influence of the reactance of the device. Therefore, nonlinearity and memory effects of the power amplifier model become very important when modeling. [0003] The modeling of power amplifiers can be divided into physical modeling and behavioral modeling. P...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04
CPCG06N3/044G06N3/045
Inventor 邵杰孔天姣胡久元
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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