Design of Circular Microstrip Antenna using Neural Networks

Abstract

An artificial neural network architecture is developed for design of circular microstrip antenna. The network takes the thickness of the substrate, dielectric constant and the resonant frequency in the dominant TM₁₁ mode as its input and gives the correspondig radius of the circular patch. A fast learning algorithm has been used for training.

Indexing terms:

• Circular microstrip antenna
• Neural networks
• Resonant frequency

Additional information

Notes on contributors

Rabindra K Mishra

Rabindra K Mishra (1963), obtained his MSc (Physics) in 1987 from Regional Engineering College, Rourkela and PhD in 1992 from University College of Engineering, Burla, both under Sambalpur University. He worked as a Research Fellow in the Dept of Electronics & Telecommunication Engineering, UCE, Burla during 1987–1991. He has been a Lecturer in the Department of Electronic Science, Berhampur University, Orissa since 1991. He has published over 25 research papers in national/international journals and proceedings of symposiums/conferences. His research interest includes microwaves, CAD in microwaves, application of Artificial Neural Networks in microwaves, active and passive patch antennas in free space & plasma medium.

He is a life member of ISTE (India) and member of IEEE (USA).

Amalendu Patnaik

Amalendu Patnaik (1971) obtained his MSc (Electronic Science) in 1993 and Post Graduate Diploma in Computer Applications in 1994, both from Berhampur University. He has been working as a Research Fellow in the Department of Electronic Science, Berhampur University in a technology development project sponsored by Department of Electronics (Govt, of India) since 1995 and simultaneously working for his PhD. His fields of interest includes application of Artificial Neural Network to microwaves, particularly to patch antennas and CAD for patch antennas. He has published over 8 research papers in national/international journals and proceedings of symposiums/conferences.

He is a student member of IEEE (USA).