Analysis of Three Port Circulator Using Artificial Neural Networks

7 Pages Posted: 14 Jun 2019

See all articles by Subrahmanyam Grandhi

Subrahmanyam Grandhi

Sri Vasavi Engineering College

J Lakshmi Narayana

Professor and Head of the Department, PSCMR College of Engineering

Date Written: March 21, 2019

Abstract

A Radio Frequency (RF) three port circulator is a non reciprocal passive device, where microwave signal entering in one port and transmitting into next port in rotation. Now a days these element become crucial in microwave systems and antenna networks in which the high power signals to be directed and isolated i.e., it protects the microwave components from unwanted reflections. An exact model is need for analysis of these circulators that can be obtained from Electro Magnetic (EM) Simulations, but the computational cost is very high. Therefore, the Artificial Neural Network model is the best alternative to obtain a model with less computational cost. ANN can solve large variety of Radio Frequency and CAD related problems. The neural network model is trained and tested by different ANN Algorithms and tabulated for their performance comparison. The circulator is designed using inverse model. In this paper proposed inverse modes and direct inverse models are compared.

Suggested Citation

Grandhi, Subrahmanyam and Narayana, J Lakshmi, Analysis of Three Port Circulator Using Artificial Neural Networks (March 21, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3357754 or http://dx.doi.org/10.2139/ssrn.3357754

Subrahmanyam Grandhi (Contact Author)

Sri Vasavi Engineering College ( email )

Tadepalligudem
West Godavari, Andhra Pradesh 534101
India

J Lakshmi Narayana

Professor and Head of the Department, PSCMR College of Engineering ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
61
Abstract Views
544
Rank
951,658
PlumX Metrics