Towards Quantifying the Effect of Material Uncertainty on RCS Predictions of Composite Targets

被引：0

作者：

Kelley, Jon T. ^{[1
]}

Mackie-Mason, Brian ^{[1
]}

Chamulak, David A. ^{[1
]}

Martin, Mark ^{[1
]}

Crouch, Kendall ^{[1
]}

Courtney, Clifton C. ^{[1
]}

Yilmaz, Ali E. ^{[1
]}

机构：

[1] Lockheed Martin Aeronaut Co, Palmdale, CA 93599 USA

来源：

2024 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM, ACES 2024 | 2024年

关键词：

Material Uncertainty; RCS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A Monte Carlo analysis is performed to study the sensitivity of the monostatic radar cross section (RCS) of thin-plate targets in the Austin RCS Benchmark Suite, which are shown to have high sensitivity to small variations in the material parameters. The RCS of the targets are found numerically for each material sample and the computational costs are reported. The case studies show that quantifying the impact of material uncertainty on the RCS (1) for a homogenous target model is not sufficient to quantify the impact of material uncertainty for a composite target model containing the same material, even if the other materials have no accompanying uncertainty, and (2) requires the use of fast methods even for electromagnetically small composite target models.

引用

页数：2

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