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首页> 外文期刊>Applied Computational Electromagnetics Society journal >Discretized Aperture Integration, Surface Integration Analysis of Airborne Radomes
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Discretized Aperture Integration, Surface Integration Analysis of Airborne Radomes

机译：离散孔径积分，机载天线罩的表面积分分析

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摘要

Full-wave electromagnetic methods are becoming increasingly more viable for the design and analysis of airborne radomes; however, there still exist many applications that require the speed associated with high frequency approximation methods. Presented here are accuracy improvements to the aperture integration surface integration (AiSi) method by incorporating both aperture and radome discretization into smaller groups in advance of the propagation routines, herein referred to as discretized radome discretized aperture integration surface integration (DrDaiSi). Dyadic Green's functions are utilized to determine exact field vectors from source current vectors. The capabilities of DrDaiSi are well-tested for typical airborne radomes, and a case study is presented which includes a 2: 1 fineness ratio tangent ogive radome with dielectric constant of 7 and a metallic tip. The benefits of the DrDaiSi algorithm over a non-discretized AiSi method for predicting radome loss, boresight error, and radiation pattern degradation are demonstrated. Results are compared to a full-wave solution of the antenna and radome problem that was solved in CST to represent "truth." Transmission loss agreement is achieved to within 0.4 dB or better, and boresight error agreement is achieved to within 0.2 deg. or better in both elevation and azimuth scan planes for a severely detuned radome.
机译：全波电磁方法对于机载天线罩的设计和分析正变得越来越可行。但是，仍然有许多应用需要与高频近似方法相关的速度。这里提出的是通过在传播程序之前将孔径和天线罩离散化合并到较小的组中来提高孔径积分表面积分（AiSi）方法的精度，在本文中将其称为离散天线罩离散化孔径积分表面积分（DrDaiSi）。 Dyadic Green的函数用于根据源电流矢量确定精确的场矢量。 DrDaiSi的功能已针对典型的机载天线罩进行了充分的测试，并进行了案例研究，其中包括介电常数为7的2：1细度比正切齿状天线罩和金属尖端。证明了DrDaiSi算法相对于非离散AiSi方法在预测天线罩损耗，视轴误差和辐射方向图退化方面的优势。将结果与在CST中解决的代表“真相”的天线和天线罩问题的全波解决方案进行比较。传输损耗一致性达到0.4 dB或更佳，视轴误差一致性达到0.2度。或在仰角和方位角扫描平面上都更好，以获得严重失调的天线罩。

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