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An effective hybrid approach for the synthesis of pencil beams and shaped beams through 4D linear antenna arrays with constrained DRR

机译:通过4D线性天线阵列合成铅笔梁的有效混合方法,通过约束DRR

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摘要

In this work, a novel hybrid approach combining differential evolution (DE) algorithm and convex programming (CP) is proposed for the synthesis of four-dimensional (4D) antenna arrays. To achieve ultra-low sidelobe level while suppressing sideband radiations simultaneously, the hybrid approach is applied to optimize static excitation coefficients and switch-on duration time separately. In particular, the hybrid approach fully makes use of the partial convexity of the problem with respect to the static excitation coefficients. CP is used to optimize static excitation coefficients for each set of switch-on duration time generated by the DE algorithm, while the DE algorithm is used to optimize the switch-on duration time only. Consequently, fewer optimization variables are needed and less iterations are required. The approach converges faster as compared to stochastic algorithms including all the optimization variables, especially for large arrays. Several numerical examples of the 4D antenna arrays are presented to demonstrate the effectiveness of the proposed hybrid approach.
机译:在这项工作中,提出了一种组合差分演化(DE)算法和凸编程(CP)的新型混合方法,用于合成四维(4D)天线阵列。为了在同时抑制边带辐射的同时实现超低侧链电平,应用混合方法以优化静态激励系数和单独接通持续时间。特别地,混合方法充分利用了关于静态激励系数的问题的部分凸起。 CP用于优化由DE算法生成的每组接通持续时间的静态激励系数,而DE算法用于仅优化开关持续时间。因此,需要更少的优化变量,需要更少的迭代。与包括所有优化变量的随机算法相比,该方法会聚得更快,特别是对于大型阵列。提出了4D天线阵列的若干数值示例以证明所提出的混合方法的有效性。

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