Sparse circular arrays method based on modified DE algorithm

Circular arrays are widely used because of their pattern characteristics,but their sidelobe levels are high compared with the mainlobe levels.Aimming at the problem of rarefying circular arrays antenna modules to minimize sidelobe levels as much as possible and taking the angle subtraction as the individual element,this paper carries on arranging the certain arrays size,the certain number of arrays element and the certain minimum element spacing sparse optimization arrays by using a modified differential evolution algorithm,which reduces search region and enhances search efficiency.The simulation results show that the method may enhance the convergence rate and reduce the circular arrays sidelobe levels effectively.