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

Abstract

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.