宽带稀布线阵的多约束优化设计

    Design of Wideband Linear Sparse Arrays with Multiple Constraints

    • 摘要: 针对有阵列孔径、单元数、最小和最大单元约束的宽带稀布直线阵的综合问题,提出一种基于目标向量映射的差分进化算法。通过引入目标向量与需要布阵单元间距之间的映射关系,使单元间距的多约束转化为非约束优化问题,从根本上消除了优化过程中的不可行解,减小了布阵空间,降低了优化算法的计算量。以改善稀布线阵峰值旁瓣电平为目的进行仿真,仿真实验结果表明,稀布阵可以在给定的工作频段内有效的抑制阵列方向图的副瓣,能比现有方法处理更多的约束条件且算法具有好的收敛性和稳健性。

       

      Abstract: Considering a synthesis of wideband linear sparse arrays with the design constraints of the number of elements,the array aperture,the minimum and the maximum element spacing,a differential evolution algorithm based on solution vector mapping is proposed to suppress the peak sidelobe level of the wideband array. The optimization algorithm avoids the infeasible solution during the optimization process by inserting a vector mapping between the element spaces and optimization parameters. Then the multiple constraints optimization is transformed to a non-constraint problem,also the size of the searching area of the solution is reduced. The simulation result shows that the optimization array is an effective approach to reduce PSLL in wideband. It can solve sparse array with more constraint than the recently reported algorithm,and the robustness and the computational efficiency could be greatly improved.

       

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