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

DNN-based radio frequency power amplifier temperature characteristic modeling method

A technology of temperature characteristics and modeling methods, applied in neural learning methods, computer simulation, CAD circuit design, etc., can solve problems such as abnormal time-consuming, and achieve the effect of reducing risks, strengthening practical guiding significance, and strong abstract expression ability.

Inactive Publication Date: 2018-07-17
TIANJIN UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Predicting the characteristics of RF power amplifiers under a wide range of temperature changes requires a large number of actual tests, and the actual test process is extremely time-consuming, and it is impossible for the actual test points to cover all temperatures continuously of

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
  • DNN-based radio frequency power amplifier temperature characteristic modeling method
  • DNN-based radio frequency power amplifier temperature characteristic modeling method
  • DNN-based radio frequency power amplifier temperature characteristic modeling method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0030] Example: 0.1–1.2GHz CMOS RF Power Amplifier

[0031] Step 1. Use the environmental test box to carry out the test. The test temperature range is -25 to 125°C, the power supply voltage is 3.3V, and the scanning frequency is 100MHz to 1.2GHz. Use a vector network analyzer and a spectrum analyzer to record the measured data. The test circuit diagram is as follows: figure 2 shown.

[0032] According to the obtained measured data of the temperature characteristics of the RF power amplifier, the data are divided into two groups, which are respectively used as the training data and test data of the DNN model.

[0033] Step two, determine the input variables (input power, frequency and temperature) and output variables (output power, S parameters and PAE) of the DNN model.

[0034] Step 3, import the selected training data into the DNN model to train the DNN model.

[0035] Step 4, import the selected test data into the trained DNN model, compare the output results of the DN...

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 DNN-based radio frequency power amplifier temperature characteristic modeling method. The method includes the steps of selecting training data and test data of a DNN model according to measured data of temperature characteristics of a radio frequency power amplifier; determining input variables and output variables of the DNN model; importing the training data into the DNN model and training the DNN model; importing the test data into the trained DNN model, comparing an output result of the DNN model with a test result and calculating errors of the output result and the test result; comparing a test error MSE of the DNN model with an expected precision value of the DNN model, and if the MSE is less than the expected precision value, completing training; if the MSEis greater than the expected precision value, adjusting parameters for retraining till the MSE is less than the expected precision value and ending training. A correlation model of performance indexes, related to temperature, of the radio frequency power amplifier is established, and prediction of the change of the performance indexes of the radio frequency power amplifier in a given temperaturerange is achieved.

Description

technical field [0001] The invention belongs to the field of modeling temperature characteristics of radio frequency power amplifiers, and more specifically relates to a DNN-based method for modeling temperature characteristics of radio frequency power amplifiers. Background technique [0002] The RF power amplifier is an indispensable core circuit module of the RF front-end, and its performance directly determines the performance of the wireless communication system. The performance of RF power amplifiers is greatly affected by temperature, and this defect cannot be avoided in the actual working process. The results of the literature survey show that a complete device temperature model has not been established yet, resulting in the designed RF power amplifier can only meet the requirements within a certain temperature range. When the operating temperature of the RF power amplifier changes (especially when the temperature changes in a large range), the characteristics of th...

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): G06F17/50G06N3/08G06N3/10
CPCG06N3/088G06N3/10G06F30/36G06F30/367G06F2119/08G06N3/08
Inventor 马建国周绍华傅海鹏
Owner TIANJIN 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com