首页> 外文期刊>Applied Computational Electromagnetics Society journal >Optimization of the Shape of Non-Planar Electronically Scanned Arrays for IFF Applications via Multi-Objective Invasive Weed Optimization Algorithm
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Optimization of the Shape of Non-Planar Electronically Scanned Arrays for IFF Applications via Multi-Objective Invasive Weed Optimization Algorithm

机译:通过多目标侵入杂草优化算法优化IFF应用非平面电子扫描阵列的形状

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摘要

The identify friend or foe antenna is a complement to many radar antennas which allows the discrimination between friendly and hostile targets by receiving identification data. Such antenna must synthesize both a sum and a difference pattern in azimuth to allow target discrimination and must point to the target being inquired, either by mechanical or electronic scanning in azimuth. In this paper, to attain optimal electronic scanning, an array of antennas lying on a generic planar curve is considered. A multi-objective optimization based on the invasive weed optimization algorithm is then applied to the shape of such curve, aimed at maximizing performances. Whereas a conventional linear array of 6 elements can effectively scan +/- 30 degrees, with respect to broadside, the proposed array, notwithstanding the same number of elements and overall length, can scan +/- 45 degrees and still synthesize effective sum and difference patterns.
机译:识别朋友或敌人天线是许多雷达天线的补充,其通过接收识别数据来允许友好和敌对目标之间的判别。这种天线必须在方位角中合成总和和差异模式,以允许目标判别,并且必须通过方位角中的机械或电子扫描来指向所询问的目标。在本文中,为了获得最佳电子扫描,考虑了躺在通用平面曲线上的一系列天线。然后将基于侵入性杂草优化算法的多目标优化应用于这种曲线的形状,旨在最大化性能。而6个元件的传统线性阵列可以有效地扫描+/- 30度,相对于宽边,所提出的阵列,尽管有相同数量的元素和整体长度,可以扫描+/- 45度并仍然合成有效的总和和差异模式。

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