Enhanced Performance Smart Antenna System using Levy Based Optimisation Algorithms for Mobile Communication

Optimisation in Antenna arrays is essential for enhancing various performance parameters by choosing optimum values for element positions, amplitude excitations or phase values. The objective of this work is to find the optimal inter-element spacings, using optimisation algorithms namely: Harmony Search Algorithm (HSA) and Grey Wolf Optimisation Algorithm (GWOA), hybridised with the Levy Flights (LF) walk concept. The main advantage of hybridised algorithms over other algorithms is the ability to escape ‘local maxima’ and provide a good balance between global search (exploration) and local search (exploitation) phases. Thus, the proposed algorithms are used to optimise positions of Dipoles in a 10-element linear array with the objective of reducing the Side Lobe Levels (SLL) without Gain loss compared to Uniform Linear Array (ULA). Far-field pattern is calculated using numerical analysis. The performances of the hybridised algorithms are analysed numerically and compared using High Frequency Simulation Software (HFSS).