Design of Dual Band Helical Antenna using Neural Networks
作者单位：Department of Electronics and Communication EngineeringCollege of Engineering Trivandrum
会议名称：《2011 4th IEEE International Symposium on Microwave,Antenna,Propagation and EMC Technologies for Wireless Communications》
会议日期：2011年
学科分类：080904[工学-电磁场与微波技术] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学]
关 键 词：Helical Antenna Normal mode helical antenna (NMHA) Back propagation Neural networks (BPNN).
摘 要：Mobile communication requires dual band opera- *** mode helical antenna is commonly used for dual band frequency *** design of normal helical antenna is usually done by trial and error *** with a standard geometry the geometrical parameters of the helix are adjusted until desired characteristics is *** this paper we present a method to design a dual band helical antenna using Artificial neural networks （ANN）.The gain and resonant frequency parameters are estimated for different helix geometries using 4NEC2 software and a database is *** this database Back Propagation Neural Network is trained with input as geometry parameters and output as gain and frequency *** the network is trained,this BPNN can be used for designing the antenna for a given *** simulated results show good agreement with desired specification.