Open AccessNoise Effect Reduction on a MEMS Based AC Voltage Reference
Author(s) -
Samane Sadat Hashemipour,
Amir Abolfazl Suratgar,
Hamid Hoseini
Publication year - 2011
Publication title -
journal of applied research and technology
Language(s) - English
Resource type - Journals
ISSN - 2448-6736
DOI - 10.22201/icat.16656423.2011.9.01.446
Subject(s) - noise (video) , voltage , microelectromechanical systems , electronic engineering , capacitive sensing , voltage reference , artificial neural network , computer science , electrical engineering , engineering , materials science , artificial intelligence , optoelectronics , image (mathematics)
This paper presents a new method in order to reduce noise effect in an AC voltage reference source. The AC voltage reference source is implemented on MEMS technology. It uses capacitive MEMS technology. The reference is based on the characteristic AC current-voltage curve MEMS component. The multilayer neural network is used. The neural network (NN) uses the Levenberg-Marquardt (LM) method for training. The noise effect on an electronic circuit is investigated. The simulation results are very promising.