Adaptibe Beamforming using Harmony Search Algorithm for Smart Antenna

Abstract

Adaptive beamforming is a key technology of smart antenna, the core is to obtain the optimum weights of the antenna array by using adaptive beamforming algorithm and adjust the main lobe to focus on arriving direction of the desired signal, as well as supress the interfering signal,by using this process the antenna can receive the interesting signal efficiently. Algorithm which is used in beam-forming is Harmony Search Algorithm (HSA). Harmony search algorithm is a meta-heuristic algorithm inspired from improvisation of music which optimises and adjusts the weights of smart antenna. The weights obtained by Harmony Search Algorithm are used to steer the linear antenna array beam in the direction of interest and null in other direction. By optimizing the weights it decrease the interference at angle of arrival (AOA) of the signal,by using this concept, the antenna can receive the desired signal efficiently .Harmony Search Algorithm is applied on Uniform Linear Array (ULA) for beam steering. It focuses on the Harmony Search Algorithm (HSA) and Modified Harmony Search (MHS) algorithm, applies these two algorithms to adaptive beam-forming to analyse their performance with different case studies,by changing the number of users, angle of arrival (AOA) and angle of interference (AOI) to compare the intensity level of the signal and also compare the convergence curve with the help of Matlab 2017a software.