Prediction of Resonant Frequency of Spiralled Swastika Slotted Antenna using ANN-BFO for WLAN Applications

Conference: International Conference on Soft Computing Applications in Wireless Communication
Author(s): Saroop Singh, Chahat Jain, Nancy Gupta, Gurjot Walia Year: 2017
Grenze ID: 02.SCAWC.2017.1.531 Page: 306-311


In today’s life, wireless communication has become an essential part of life. So to achieve efficient wireless\ncommunications, efficient radiators are required. The antenna is crucial component for wireless communication which must\nbe of small size and less weight as per recent trends. In this paper, a spiralled swastika slotted antenna along with ANN\nmodel is proposed for parameters estimation, the ANN model uses ‘traingd’ function based training model named Gradient-\nDescent back propagation BPNN model algorithm. The tool in Zealand software namely IE3D is used to simulate and design\na coaxial fed Micro-strip patch antenna resonating in the vicinity of 3-6GHz. This band is used for unlicensed WPAN\n(Wireless Personal Area Network) Bluetooth applications. ANN (Artificial Neural Network) tool is used to calculate the\ncorresponding resonance of antenna which is further optimized with BFO (Bacterial Foraging Optimization) algorithm. ANN\nshows the close approximation results as compared to the results simulated in IE3D software. The ANN-BFO algorithm\nassists in locating appropriate feed locations so as to resonate the designed antenna structure at desired resonant frequency.\nThus, the paper presents the accurate prediction of resonant frequency of antenna by using ANN-BFO algorithm.


SCAWC - 2017