Title of article :
Particle Swarm Optimization of Balanced Antipodal Vivaldi Antenna for Ultra Wide Band Imaging Applications
Author/Authors :
Abdul Aziz Islamia University of Bahawalpur, Pakistan , Malik, Abdul Sattar Bahauddin Zakariya University, Pakistan , Azhar, Arslan Islamia University of Bahawalpur, Pakistan , Abrar, Muhammad Bahauddin Zakariya University, Pakistan , Mustafa, H. M. T. University of the Punjab - Department of Electrical Engineering, Pakistan
Abstract :
The aim of this paper is to optimize a Balanced Antipodal Vivaldi Antenna (BAVA) to obtain a design compatible with the FCC UWB regulations (return loss less than -10dB for 3.1 to 10.6GHz) as well as having a high gain, low cross polarization, better group delay and smaller size as compared to several published designs. The paper also illustrates the important decisions taken in the design process to help reducing the optimization time and resources. The BAVA has been optimized to reduce antenna return loss and enhance directivity by directly applying Swarm Particle Optimization (PSO) algorithm on a full scale parametric simulation model of BAVA in FEKO suite. Finally, several important radiation characteristics are obtained and compared using EMSS FEKO and Ansoft HFSS to ensure consistency in results.
Keywords :
Antipodal Vivaldi antenna , particle swarm optimization , ultra , wide , band antenna , OPTFEKO , tumor detection.
Journal title :
Journal of Faculty of Engineering and technology (JFET)
Journal title :
Journal of Faculty of Engineering and technology (JFET)
