Open AccessA MULTI-OBJECTIVE OPTIMIZATION OF AN ULTRA-WIDEBAND ANTENNA USING AN EVOLUTIONARY ALGORITHM
Author(s) -
Atif Khan
Publication year - 2021
Publication title -
journal of mechanics of continua and mathematical sciences
Language(s) - English
Resource type - Journals
eISSN - 2454-7190
pISSN - 0973-8975
DOI - 10.26782/jmcms.2021.07.00010
Subject(s) - bandwidth (computing) , microstrip antenna , patch antenna , wideband , differential evolution , antenna efficiency , antenna measurement , materials science , computer science , antenna (radio) , coaxial antenna , electronic engineering , acoustics , physics , telecommunications , algorithm , engineering
In this research, a unique textile antenna is reported for ultra-wideband applications. The material used for the ground and patch of an antenna is conductive woven zelt and the substrate of the antenna is made of cotton (Tan δ = 0.02, εr = 1.54). The suggested antenna is made of a circular patch of a miniature size i.e. 20 mm × 16.922 mm × 2 mm. The zelt is 0.03 mm thick, bearing electrical conductivity up to 0.01 Ω/m. The antenna bandwidth and gain are optimized by using a multi-objective evolutionary algorithm based on decomposition with differential evolution (MOEA/D-DE). The gain and bandwidth are improved to 4.9 dBi and 2.8 GHz to 15 GHz, respectively. The suggested antenna can be used for Wifi, GPS, and ultra-wideband operations.