Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent digital pre-distortion system and method for dynamic transmission

A digital pre-distortion and dynamic technology, applied in the direction of synchronization/start-stop system, biological neural network model, neural architecture, etc., can solve problems such as inefficiency, reduce the number of coefficients, increase flexibility, improve stability and convergence speed Effect

Active Publication Date: 2021-11-19
SOUTHEAST UNIV
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The nonlinear characteristics of the power amplifier will change as the input signal changes. The traditional digital pre-distortion method needs to store a set of digital pre-distortion coefficients for each input signal, which is very inefficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent digital pre-distortion system and method for dynamic transmission
  • Intelligent digital pre-distortion system and method for dynamic transmission
  • Intelligent digital pre-distortion system and method for dynamic transmission

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] see Figure 1-Figure 4 , this embodiment provides an intelligent digital pre-distortion system oriented to dynamic transmission, including: a polynomial auxiliary module, a signal feature estimation module, and a neural network module; wherein,

[0062] The polynomial auxiliary module uses the prior information of the power amplifier to eliminate the static nonlinearity of the power amplifier in dynamic transmission scenarios;

[0063] The signal feature estimation module estimates the signal feature of the dynamic transmission signal, and inputs the estimated signal feature together with the input signal into the neural network module;

[0064] The neural network module compensates the dynamic nonlinearity of the power amplifier caused by the change of the input signal according to the acquired signal characteristics and the input signal.

[0065] Specifically, in this embodiment, the signal feature estimation module extracts a recent input signal by using a finite im...

Embodiment 2

[0096] This embodiment provides an intelligent digital pre-distortion method for dynamic transmission on the basis of Embodiment 1, including:

[0097] Step S1, input multiple sets of input signals with different characteristics required for dynamic transmission into the power amplifier, and define the input signals as original input signals, then obtain multiple sets of first output signals from the output end of the power amplifier, and then extract All the features of the original input signal, and construct a data set with the original input signal, the first output signal and the features, and then divide the data set into a training set and a verification set in a certain proportion;

[0098] Step S2, selecting the size of the finite impulse response window in the signal feature extraction module and the traditional model that needs to be embedded in the polynomial auxiliary module, and setting the hyperparameters of the modeling system;

[0099] Specifically, in this em...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an intelligent digital pre-distortion system and method for dynamic transmission. The system comprises a polynomial auxiliary module, a signal feature estimation module and a neural network module. The polynomial auxiliary module eliminates static nonlinearity of the power amplifier in a dynamic transmission scene by using prior information of the power amplifier; the signal feature estimation module estimates the signal feature of the dynamic transmission signal, and inputs the estimated signal feature and the input signal into the neural network module; and the neural network module compensates the dynamic nonlinearity of the power amplifier caused by the change of the input signal according to the acquired signal characteristics and the input signal. According to the method, the input signal is subjected to feature estimation and input into the model, the intelligent digital pre-distortion requirement of the power amplifier in a dynamic transmission scene is met, the prior information of the power amplifier is utilized and embedded into the traditional polynomial behavior model, and the complexity of the system is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of digital pre-distortion, in particular to an intelligent digital pre-distortion system and method for dynamic transmission. Background technique [0002] In the fifth generation mobile communication system (5G), in order to make full use of communication resources, the input signal of the transmitter will change dynamically according to the change of the channel environment. For example, when the channel environment is poor, use a low-order modulation method to ensure that the received signal can be demodulated correctly; when the spectrum resources are not fully utilized, increase the signal bandwidth to transmit more information and so on. In this way, 5G can greatly improve communication flexibility. However, like the traditional mobile communication system, in order to ensure the efficiency of the entire system, the power amplifier needs to work in a high-efficiency mode with strong nonlinear characte...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04L25/49G06N3/04
CPCH04L25/49G06N3/048G06N3/045
Inventor 余超郁煜铖
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products