Micro-strip antenna optimization using genetic algorithms

Author

Chakraborty, Shibaji ; Mukherjee, Uddipan

Author_Institution

Dept. of Electron. & Commun., Salt lake Electron. Complex, Kolkata, India

fYear

2010

fDate

17-19 Sept. 2010

Firstpage

635

Lastpage

640

Abstract

The design of a micro-strip patch antenna is proposed by optimizing its resonant frequency, Bandwidth of operation and Radiation resistance using Genetic Algorithm (GA). GA is based on the mechanics of natural genetics and natural selection and good at taking larger, potentially huge, search spaces and navigating them looking for optimal combinations of solutions which we might not find in life time. Optimizing radiation resistance operational bandwidth as high as 25.52% and return loss -47.5 dB is obtained without any complexity of design. The antenna can be used for various applications in fields of mobile communication, satellite communication, RFID, GPS, Radar communication etc.

Keywords

Global Positioning System; genetic algorithms; microstrip antennas; mobile communication; radiofrequency identification; satellite communication; GPS; RFID; genetic algorithms; microstrip antenna optimization; microstrip patch antenna; mobile communication; natural genetics; natural selection; radar communication; radiation resistance; resonant frequency; satellite communication; Dielectric constant; Feeds; Impedance; Mathematical model; Resonant frequency; Substrates; Bandwidth; Coaxial probe feed; Genetic Algorithm; Micro-strip antenna; Optimization; Radiation resistance; Return loss; Transmission line model; Two point crossover;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Communication Technology (ICCCT), 2010 International Conference on

Conference_Location

Allahabad, Uttar Pradesh

Print_ISBN

978-1-4244-9033-2

Type

conf

DOI

10.1109/ICCCT.2010.5640452

Filename

5640452