Neural network analysis for RF to DC signal conversion circuit
File(s)
Author(s)
Kumar, Varindra
Type
Conference Paper
Abstract
Voltage amplification is an important element of the energy harvesting process to provide an enhanced voltage and run various digital circuits at low power. At RF frequencies, the discrete circuit arrangement using high frequency diode HSMS 2850 and capacitors have been used here to provide the voltage amplification with high power efficiency. The paper describes a mechanism of the Dickson circuit arrangement with its various parameters. The power efficiency is obtained and compared with multiple stages of the Dickson configuration for the input power, frequency of operation and its load using keysight based ADS tool. Finally a neural network has been designed using a Matlab script and the trained neural network has been applied to get the efficiency result. The result shows that with an increase in the multiplier stage of the Dickson circuit, there is a significant increase in its power efficiency. In addition the neural network implementation shows that the circuit parameters can be obtained using a well-trained neural network script.
Date Acceptance
2020-11-30
Citation
2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)
ISBN
978-1-7281-9061-7
Publisher
IEEE
Journal / Book Title
2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE 2021)
Publication Status
Published
Start Date
2021-01-15
Finish Date
2021-01-16
Coverage Spatial
Mumbai, India
Date Publish Online
2021-07-30