Sidelobe reduction of asymmetric linear thinned arrays using genetic algorithm

This paper presents how to synthesize asymmetric linear arrays using genetic algorithms. The asymmetric configuration is an available degree of freedom to control the characters of thinned arrays. In this paper, the Genetic Algorithms (GA) determines which elements are turned off in a periodic array to yield the lowest maximum Relative SideLobe Level (RSLL). Fitness function of GA for asymmetric linear arrays synthesis is designed. Simulation results show that the optimized asymmetric linear arrays which lack the design constraint of bilateral symmetry can not only obtain lower sidelobes, but also weaken the deterioration of scanning beam if the thinned arrays are made up of the directional elements.