应用多目标遗传算法设计一种新型超宽带探地雷达天线

H.S. Faraji, R. Moini, S. Sadeghi, H. Talebi
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引用次数: 3

摘要

本文设计了一种用于脉冲探地雷达的改进电阻负载导线弓。新的领结在VSWR和带宽方面得到了改进。改进的方法是将手臂变细,并应用遗传算法选择最优的变细结构参数。弯曲臂的设计是为了减少驱动点的反射,这反过来又增加了辐射到地面的能量。采用遗传算法求解曲线天线的最优参数。目标函数由宽带性能和驻波比组成,构成一个多目标优化问题。采用遗传算法求出天线的最优参数,即电阻负载、负载位置、臂数和臂间角距离。从带宽和驻波比两个方面验证了该天线的性能。仿真结果验证了新天线的有效性,并与文献中报道的天线进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a new wire bow-tie antenna for ultrawide-band GPR applications using multi-objective genetic algorithm
In this paper, a modified resistively loaded Wire-bow is designed for impulse ground-penetrating radar applications. The new Bow-tie is improved in terms of VSWR and band width. The improvements are achieved by tapering the arms and applying genetic algorithm to choose the optimum parameters for the tapered configuration. Curving arms is designed to decrease the reflection at the drive point, which in turn increases energy radiated to the ground. Genetic algorithm is applied to find the optimum curved antenna parameters. The objective function is composed of broadband performance and VSWR which constitutes a multi-objective optimization problem. The genetic algorithm is used to find, the optimal parameters for the antenna, i.e., resistive loads, loads' locations, number of arms and angular distances between arms. The performance of the proposed antenna is validated in terms of bandwidth and VSWR. Simulation results are presentated to validate the effectiveness of the new antenna as compared with those antennas previously reported in the literatures.
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