Non-uniform Circular Array Geometry Synthesis Using Wind Driven Optimization Algorithm

Abstract

This paper describes fast, efficient and global optimization method for pattern synthesis of non-uniform circular array antenna having a minimum side lobe level (SLL) and beam width by controlling the amplitude and position-only using wind driven optimization (WDO) algorithm. The WDO is a new nature-inspired optimization technique based on the movement of air parcel in the earth’s atmosphere. It uses a new learning strategy to update the velocity and position of air packets based on their current pressure values. One design example of non-uniform circular array antenna is considered and the results obtained by WDO algorithm is compared with those obtained by other evolutionary algorithms such as GA, PSO, CS, FA, BBO, COA, and MIWO. This algorithm achieves a minimum SLL compared to one of the best results obtained by the cuckoo search algorithm (COA). Also, the learning characteristic shows that WDO algorithm takes less than 50 iterations to determine the optimal excitation amplitude and position of the array element. The simulation results demonstrate the improved performance of the WDO algorithm in terms of directivity, minimum SLL, null control and the rate of convergence compared to other algorithms reported in literature.