基于改进麻雀搜索算法的稀布线阵综合方法

A Synthetic Method of Sparse Linear Array Based on Improved Sparrow Search Algorithm

针对阵列天线中阵列孔径、阵元数目、阵元间距等多约束的稀布线阵综合问题,文中提出了一种基于改进麻雀搜索算法的稀布阵列综合优化方法。给出了改进麻雀搜索算法的流程,并在确定阵列孔径、阵元数目和最小阵元间距的约束条件下,采用Tent混沌映射进行天线阵元位置的初始化,提高算法的搜索性和收敛性,实现了抑制天线峰值旁瓣电平(PSLL)的稀布线阵综合仿真。仿真结果表明,所提出的方法相比于其它文献中的优化方法,能够得到更低的峰值旁瓣电平,稳健性好,效率高。在仿真结果的基础上,引入实际天线进行组阵分析,验证了该方法的可行性。

Aiming at the sparse linear array synthesis problem with multiple constraints such as array aperture,number of array elements,and array elements spacing,a sparse array synthesis optimization method based on an improved sparrow search algorithm is proposed.The process of improved sparrow search algorithm is given,and under the constraints of a certain array aperture,the number of array elements and the minimum array elements spacing,the Tent chaotic map is used to initialize the position of the antenna array elements to improve the searchability and convergence of the algorithm.It has realized the integrated simulation of the sparse linear array that suppresses the peak sidelobe level(PSLL)of the antenna.The simulation results show that the proposed method can obtain a lower peak sidelobe level compared with the optimization method in other literatures,and the proposed method has good robustness and high efficiency.Based on the simulation results,the actual antenna is introduced for array analysis,which verifies the feasibility of the method.