基于改进差分进化算法的圆阵稀布方法

针对稀布圆形阵列的天线单元,使旁瓣电平尽量降低的问题,应用改进的差分进化算法,取角度差值为个体元素,进行阵列孔径、单元个数、最小间隔一定的稀布优化排列,减小了差分进化算法的搜索空间,提高了搜索效率。仿真结果表明:该方法可有效地提高收敛速度、降低圆阵的旁瓣电平。

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.