Implementation of smart antenna system using gentic algorithm and artificial immune system

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 which gives better results than the previous algorithms used in this regard. We have done both pats here i.e. DOA Estimation and Beamforming. We have developed its code using MATLAB. We have also implemented it on DSP-Kit. Instead of using actual signals, we have used dummy signals, which are fed to DSK- C6713 for processing.