Design of normal mode helical antenna using neural networks

Mobile communication requires dual band operation. Normal mode helical antenna is commonly used for dual band frequency operations. The design of normal helical antenna usually done by trial and error procedure. Starting with a standard geometry the geometrical parameters of the helix are adjusted until desired characteristics is obtained. In 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 prepared. Using this database Back Propagation Neural Network is trained with input as geometry parameters and output as gain and frequency parameters. Once the network is trained this BPNN can be used for designing the antenna for a given specification. The simulated results show good agreement with desired specification.