Implementation of Smart Antenna System using Genetic Algorithm and Artificial Immune System (P-0380) (MFN 62)

Abstract

In simple words, smart antenna is such that it can sense its environment and can adjust its gain in different directions accordingly. They provide a smart solution to the problem of communication traffic overload i.e. they increase the traffic capacity. They also improve the QOS. RF spectrum is a limited resource and is becoming crowded day by day due to the advent of new technologies. The sources of interference are increasing as well and hence interference is becoming the limiting factor for wireless communication. Smart Antenna adapts its radiation pattern in such a way that it steers its main beam in the DOA (direction of arrival) of the desired user signal and places null along the interference. It refers to a system of antenna arrays with smart signal processing algorithms. This project aims to implement a complete smart antenna system with an altogether different hybrid biological technique. As ‘implementation of smart antennas using genetic algorithm and artificial immune system’ we have done on linear array first which has produced good results as compared to other conventional calculus based algorithms then we also implemented the same algorithm on planar array because the beam formation for planar array can be controlled more effectively which can improve the efficiency of the genetic algorithm.We have developed its code using MATLAB. Putting the whole hypothesis in a nut shell, this project is a simple research for improving performance of the specific genetic algorithm.