Optimal Design of Dual band Microstrip Patch Antenna Array based on Greatest Common Divisor and Particle Swarm Optimization

A. Paul, Santhosh Kumar
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Abstract

This paper presents the optimal design of two dimensional sparse array based on greatest common divisor (GCD) and Particle swarm optimization (PSO). On studying the coarray properties of two dimensional arrays based on greatest common divisor, it is observed that the array based on greatest common divisor has better side lobe properties compared to regular rectangular array. The number of elements of array based on GCD can be further reduced by selectively removing some of elements. In this work elements are removed based on concept that redundancy of coarray should be located at lower lags and holes are located at higher lags. Ones the sparse array obtained from above procedure, the length and width of individual elements are optimized for achieving gain at two frequencies using Particle swarm optimization (PSO). Simulated results well agree with our expectations.
基于最大公约数和粒子群算法的双频微带贴片天线阵优化设计
提出了一种基于最大公约数和粒子群算法的二维稀疏阵列优化设计方法。对基于最大公因数的二维阵列的共阵特性进行了研究,发现基于最大公因数的二维阵列比正则矩形阵列具有更好的旁瓣特性。通过选择性地移除一些元素,可以进一步减少基于GCD的数组元素的数量。在这项工作中,基于同轴阵列冗余应位于较低滞后和孔位于较高滞后的概念去除元素。在得到的稀疏阵列中,利用粒子群算法对各单元的长度和宽度进行优化,以实现两个频率下的增益。模拟结果很好地符合我们的预期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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