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首页> 外文期刊>International journal of electronics >Synthesis of flat-top beam pattern of linear antenna arrays with restricted side lobe level, VSWR and independent nulls using Flower Pollination algorithm
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Synthesis of flat-top beam pattern of linear antenna arrays with restricted side lobe level, VSWR and independent nulls using Flower Pollination algorithm

机译：利用花授粉算法合成受限旁瓣电平，VSWR和独立零点的线性天线阵列的平顶波束方向图

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摘要

Inspired by the biological evolution and the natural selection, evolutionary algorithms have already shown their success in obtaining the solutions for many complex optimisation problems. The aim of this paper is to study the performance of Flower Pollination algorithm for the synthesis of the flat-top beam pattern in linear antenna arrays with restrictions on the peak side lobe level, ripple in the flat-top portion, and maximum Voltage Standing Wave Ratio along with the two independent nulls. Mutual coupling is considered between the parallel dipole antennas. This synthesis is obtained by the generation of current amplitudes with binary phase shifters of 0 and 180 degrees for the antenna elements. Matlab software is used for the simulations. The values of the different antenna parameters as well as the statistical parameters such as the global best fitness value, worst fitness value, mean and standard deviation from the optimisation process generated by the simulations are obtained. Two examples are presented in this paper with different number of antenna elements. The obtained results show the superiority of the Flower Pollination algorithm over Particle Swarm Optimisation algorithm. Moreover, the results obtained from simulations are validated by using FEKO software.
机译：受生物进化和自然选择的启发，进化算法已经显示出成功地获得许多复杂的优化问题的解决方案。本文旨在研究用花授粉算法合成线性天线阵列中的平顶波束方向图的性能，该算法受峰值旁瓣电平，平顶部分的波纹和最大电压驻波的限制比率以及两个独立的空值。考虑了在平行偶极天线之间的相互耦合。通过为天线元件使用0和180度的二进制移相器生成电流幅度来获得这种合成。 Matlab软件用于仿真。获得了不同天线参数的值以及统计参数，例如全局最佳适应值，最差适应值，均值和标准差，这些模拟值与模拟生成的优化过程不同。本文介绍了两个示例，其中使用了不同数量的天线元件。获得的结果表明，花授粉算法优于粒子群优化算法。此外，使用FEKO软件验证了从仿真获得的结果。

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