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

Dynamic linearization system of power amplifier based on mode recognition, and method

A technology of power amplifier and pattern recognition, which is applied in the field of linearization system, can solve the problems of power amplifier complexity and change, and achieve the effect of good linearization performance

Active Publication Date: 2019-02-01
SOUTHEAST UNIV
View PDF8 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to the very complex characteristics of power amplifiers, the traditional dynamic linearization methods based only on power indicators have some shortcomings, which is reflected in that even at a fixed input signal power level, the state of the power amplifier will change Variation due to many other non-power changes, e.g. thermal effects

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
  • Dynamic linearization system of power amplifier based on mode recognition, and method
  • Dynamic linearization system of power amplifier based on mode recognition, and method
  • Dynamic linearization system of power amplifier based on mode recognition, and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The technical solution of the present invention will be further introduced below in conjunction with specific embodiments.

[0061] This specific embodiment discloses a dynamic linearization system of a power amplifier based on pattern recognition, such as figure 1 Shown, including:

[0062] Feature vector generation module: used to generate feature vectors representing the current state of the power amplifier;

[0063] Multilayer perceptron module: perform pattern recognition on the feature vector of the power amplifier, and obtain the pattern recognition result of the current state of the power amplifier;

[0064] Predistortion coefficient look-up table module: According to the recognition result of the multilayer perceptron, index the predistortion coefficient corresponding to the current state of the power amplifier to generate a predistortion signal corresponding to the current state of the power amplifier;

[0065] Vector signal module: used to generate the original signal...

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 a dynamic linearization system of a power amplifier based on mode recognition. The dynamic linearization system comprises a feature vector generation module, a multilayer sensor module, a predistortion coefficient lookup table module, a vector signal module, a transmitting link module, a power amplifier module and a feedback loop module. The invention further discloses a method using the dynamic linearization system. The dynamic linearization system disclosed by the invention adopts a new standard, that is, an amplitude modulation to amplitude modulation (AM / AM) mode, to recognize a working state of the power amplifier, and uses a recognition result of a multilayer sensor neural network on the power amplifier AM / AM to index different predistortion coefficients so asto achieve the dynamic linearization of the power amplifier. Compared with the traditional power lookup tables and power indexing algorithms, the method has the advantages of being able to provide better linearization performance. In addition, the dynamic linearization system disclosed by the invention is also capable of solving the linearization problem under a dynamic condition of the power amplifier caused by many other non-power factor changes such as temperature, frequency, bandwidth, signal type, etc.

Description

Technical field [0001] The present invention relates to a power amplifier linearization system and method, in particular to a power amplifier dynamic linearization system and method based on pattern recognition. Background technique [0002] In the fifth generation wireless communication system (5G), dynamic power transmission technology will be widely used to achieve efficient use of power resources. As a key component in the 5G system, the power amplifier will not only exhibit static in-band distortion and out-of-band distortion in traditional systems, but also dynamic state changes caused by dynamic changes in the input signal power. This inevitably affects the quality of the demodulated signal. The traditional digital predistortion technology is a common technology used to eliminate the static nonlinear distortion of the power amplifier and maintain its high efficiency. However, this dynamic power transmission scenario will bring new challenges to the linearization task of ...

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): H03F3/24H03F1/30G06N3/04G06K9/62
CPCH03F1/30H03F3/24G06N3/045G06F18/214
Inventor 余超印航
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