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BWDO algorithm and its application in antenna array and pixelated metasurface synthesis

机译:BWDO算法及其在天线阵列和像素化超表面综合中的应用

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摘要

This article introduces a novel, binary version of wind driven optimisation (WDO) called binary WDO (BWDO), which can be specifically used for solving binary valued problems such as antenna array and metasurface synthesis. Validation of proposed algorithm is done with standard benchmark functions. To demonstrate the efficiency of BWDO, examples of thinned antenna array and metasurface synthesis are considered. Thinned antenna array problem is solved by formulating single and multi-objective optimisation problems which achieve minimum SLL of -22.30 dB and -20.28 dB respectively, as compared to -13.2 dB by periodic array. Further, the proposed BWDO algorithm is interface with Ansys-HFSS and three design examples of metasurfaces such as MPA and AMC are further considered to exemplify the proficiency of BWDO. Simulation of optimised MPA exhibits five discrete bands of high absorptions at 8.7, 9.7, 14.6, 15.3 and 16.5 GHz with simulation reflection co-efficient value of -11.46, -10.00, -12.17, -16.19 and -20.58 dB which is less than -10 dB reflection under normal incidence of wave. Synthesised single and dual band AMC has in-phase reflection bandwidth of 0.58 and 0.34, 0.16 GHz at central frequency of 5.21 and 5.07, 6.49 GHz respectively. The measured results almost matched with the respective simulated results with slight variation due to fabrication tolerance.
机译:本文介绍了一种称为二进制WDO(BWDO)的新型风驱动优化(WDO)二进制版本,该版本可专门用于解决二进制值问题,例如天线阵列和超表面合成。所提出算法的验证是通过标准基准功能完成的。为了证明BWDO的效率,我们考虑了天线阵列变薄和超表面合成的例子。通过制定单目标和多目标优化问题可以解决天线阵列变薄的问题,单周期和多目标优化问题的最小SLL分别达到-22.30 dB和-20.28 dB,而周期性阵列的-13.2 dB。此外,提出的BWDO算法与Ansys-HFSS进行了接口,并进一步考虑了元表面的三个设计示例,例如MPA和AMC,以证明BWDO的熟练程度。优化的MPA的仿真在8.7、9.7、14.6、15.3、16.5 GHz处具有五个高吸收的离散频带,仿真反射系数值为-11.46,-10.00,-12.17,-16.19和-20.58 dB,小于-垂直入射波时10 dB反射。合成的单频带和双频带AMC在中心频率5.21和5.07、6.49 GHz处分别具有0.58和0.34、0.16 GHz的同相反射带宽。由于制造公差,测量结果几乎与各自的模拟结果相符,但有微小的变化。

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