提出了一种基于改进粒子群算法的稀布阵综合新方法,用于优化设计有最小阵元间距约束的稀布阵。该方法通过改造适应度函数,有效避免了粒子更新时出现不可行解,通过个体描述方式可使搜索空间减小。在给定阵列孔径和阵元数的条件下,高效地实现了任意最小阵元间距约束下抑制分布式线阵峰值旁瓣电平的阵列综合。文中给出了改进粒子群算法的流程,通过仿真实验证实了该方法的有效性和稳健性,并得到了比文献[2-3]更好的数值结果。 A new method of thinning array synthesis based on improved particle swarm optimization is proposed, which is used to optimize the thin array with the minimum array element spacing constraint. By modifying the fitness function, this method effectively avoids the infeasible solution when the particle is updated, and reduces the search space through the individual description. Under the condition of given aperture and number of array elements, the array synthesis of peak sidelobe level of distributed linear array is efficiently achieved under the constraint of arbitrary minimum array spacing. In this paper, the flow of improved particle swarm optimization is given. The simulation results show the validity and robustness of the proposed method and the better numerical results than [2-3] are obtained.