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An Efficient Rotationally Symmetric Approach for the Design of Sparse Conformal Arrays in Wide Angle Scanning

机译:广角扫描中稀疏保形阵列设计的高效旋转对称方法

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This paper addresses a novel rotationally symmetric technique with multiple constraints for sparse conformal array synthesis. The purpose is to synthesis a sparse optimal common element positions on the conformal surface varying multiple patterns of wide angle scanning with the behavior of low sidelobe levels (SLL). The conformal surface aperture is partitioned into several rotationally symmetric sections. The element positions and element numbers of only one section need to be optimized, which contribute to the reduction of optimizing variables and computation resources. We formulate the synthesis problem as a constrained optimization problem, which takes the peak sidelobe level (PSLL) as the fitness function, and sets the total number of array elements, the minimum spacing between two adjacent elements to form multiple constraints. The Brain Storm Optimization (BSO) is further exploited into the synthesis problem with multiple constraints. A set of representative numerical examples are presented to assess the advantages and effectiveness of the proposed method.
机译:本文解决了一种新型旋转对称技术,具有多种约束的稀疏保形阵列合成。目的是在不同的广角扫描的共形表面改变多个模式上合成稀疏最佳公共元件位置,随着低侧链电平(SLL)的行为。共形表面孔被划分为几个旋转对称部分。需要优化仅一个部分的元素位置和元素数,这有助于减少优化变量和计算资源。我们将合成问题作为约束优化问题,它将峰值侧链电平(PSLL)作为适合度函数,并设置阵列元素的总数,两个相邻元件之间的最小间隔以形成多个约束。脑风暴优化(BSO)进一步利用多个约束进一步利用综合问题。提出了一组代表性的数值例子以评估所提出的方法的优点和有效性。

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