舰载高频天线优化布局的全局优化技术

M. Ural, C. Bayseferogullari
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引用次数: 2

摘要

在研究[1]和[2]中,通过使用遗传算法优化(GAO)和粒子群优化(PSO)技术确定最佳天线放置位置,将飞机平台上两个VHF天线之间的射频耦合降至最低。基于这些研究,在本工作中;舰船平台上两个高频天线之间的射频耦合可以通过确定最佳天线位置来最小化。与其他工作不同的是,耦合不仅在单个频率上而且在整个工作频带上都是最小的。同样,GAO和粒子群算法也被用于确定天线的最佳位置。在整个工作中,对两种优化技术的输出在天线放置和耦合结果方面进行了比较。在工作结束时,从指向性和覆盖角度分析了天线在最佳位置的远场辐射方向图性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Optimization Techniques for Optimal Placement of HF Antennas on a Shipboard
In studies [1] and [2], RF coupling between two VHF antennas on an aircraft platform is minimized by determining an optimal antenna placement with techniques, Genetic Algorithm Optimization (GAO) and Particle Swarm Optimization (PSO). Based on these studies, in this work; RF coupling between two HF antennas on a shipboard platform is minimized by determining an optimal antenna placement. Unlike the other works, coupling is minimized not only at single frequency but over the whole frequency band of operation. Similarly, GAO and PSO, are used in order to determine optimal antenna placement. Throughout this work, outputs of two optimization techniques are compared with each other in terms of antenna placements and coupling results. At the end of the work, far-field radiation pattern performances of the antennas at their optimal places are analyzed in terms of directivity and coverage in order to see that.
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