Automated Design Optimization for CMOS Rectifier Using Deep Neural Network (DNN)

A previously designed CMOS rectifier is optimized with the help of Deep Neural Network (DNN) to identify maximum power conversion efficiency (PCE) for various input RF power (from antenna) and load conditions. The condition for an additional improvement of 1.8% in PCE is identified and cross validat...

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Bibliographic Details
Main Authors: Ho, Heng Wah, Lau, Wendy W.Y.
Format: Conference Proceeding
Language:English
Subjects:
CMOS Rectifier
Deep Learning
Deep Neural Network
Neuron
Optimization
Online Access:Request full text
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Description
Summary:A previously designed CMOS rectifier is optimized with the help of Deep Neural Network (DNN) to identify maximum power conversion efficiency (PCE) for various input RF power (from antenna) and load conditions. The condition for an additional improvement of 1.8% in PCE is identified and cross validated with simulation result.
ISSN:2573-7651
DOI:10.1109/WPTC45513.2019.9055537