基于粒子群算法的非均匀稀布阵列综合

给出了一种基于粒子群算法的非均匀稀布阵列综合方法,设计有最小阵元间距约束的稀布阵,通过加入间距约束向量改进了适应度算法,不仅减小了布阵空间,而且消除了优化过程中的不合格个体。在给定阵列孔径和阵元数的条件下,实现了最小阵元间距约束下抑制栅瓣,降低旁瓣电平的阵列综合。通过仿真实例,验证了此方法的高效可行性。

Unequally Spaced Sparse Array Synthesis Based on Particle Swarm Optimization

A synthesizing method of unequally spaced sparse linear array with constraint of the minimum element spacing is presented based on particle swarm optimization （PSO）. By adding element spacing constraint vector, fitness algorithm is improved, size of the sparse array is reduced, and unqualified individual during the optimization process is eliminated. When array aperture and number of elements are given, grating lob suppression and peak sidelobe level reduction can be achieved with constraint of the minimum element spacing. The simulated results verify that the method is effective and feasible.