Antenna Array Optimization for Smart Antenna Technology using Whale Optimization Algorithm

This paper describes optimum antenna array structure for beamforming in smart antenna technology. Different examples of array structures are analysed by the use of newly developed optimization technique called Whale Optimization Algorithm (WOA). The design objective here has been considered to get the most favourable radiation patterns with sidelobe level (SLL) reduction by optimizing amplitude excitations, inter element spacings and phases of each elements of an array. The numerical and simulation results are compared with that obtained by most popular optimization technique, Particle Swarm Optimization (PSO), Ant Lion Optimization (ALO) and Cat Swarm Optimization (CSO) by building codes using MATLAB. The results show that WOA can exhibit relatively better performance than other algorithms for the antenna array synthesis examples and beamforming applications.