The Application and Study of Phase-only Weight Synthesis Based on Differential Evolution Algorithm

Because of the nearby tradional phase-only weight coefficient is not implement for actual T/R module, and differential evolution algorithm (DEA) is arguably one of the best real parameter optimizers of current interest takes very few control parameters and is easy to implement in any programming language. In this article, an adaptive DEA has been used to optimize the realizable phase weight coefficient in engineering of the linear array to produce a radiation pattern with minimum sidelobe level and high radiation power. The results of the proposed algorithm have been shown to meet or beat the recently published results obtained using other state-of-the-art metaheristics like the genetic algorithm (GA) and particle swarm optimization (PSO) in a statistically meaningful way.