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首页> 外文期刊>IEEE Antennas and Wireless Propagation Letters >Synthesis of Distributed Array Consisting of Two Subarrays via Hybrid Method of Differential Evolution Optimization and Convex Optimization
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Synthesis of Distributed Array Consisting of Two Subarrays via Hybrid Method of Differential Evolution Optimization and Convex Optimization

机译:分布式阵列的合成通过差分演化优化和凸优化的混合方法组成的两个子阵列组成

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摘要

In this letter, we present a hybrid optimization method for the synthesis of distributed array consisting of two identical subarrays, which is mainly used on aeroplanes as the front end of communication system, aiming to lower the grating lobe level as much as possible. The proposed method is on the basis of a combination of differential evolution optimization and weighted l(1) convex optimization. In the procedure of optimization, a hybrid method of optimization is proposed to optimize element positions and excitations to obtain the optimum performance, while multiple constraints are adopted to satisfy the application requirements. Numerical comparisons between different values of parameters are presented to assess the effectiveness of the proposed optimization method, showing the best result of optimization possibly obtained with different parameters.
机译:在这封信中,我们介绍了一种混合优化方法,用于合成由两个相同的子阵列组成的分布式阵列,其主要用于飞机作为通信系统的前端,旨在尽可能地降低光栅凸杆水平。所提出的方法是基于差分演化优化和加权L(1)凸优化的组合。在优化过程中,提出了一种优化的混合方法来优化元件位置和激发以获得最佳性能,而采用多个约束来满足应用要求。提出了不同参数值之间的数值比较,以评估所提出的优化方法的有效性,显示了用不同参数获得的优化的最佳结果。

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