基于雷达图像近场到远场RCS测量的不确定度研究

A. Sarri, S. Sensani, L. Fiori, M. Filippi, S. Bertini, R. Cioni
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引用次数: 0

摘要

可靠的雷达截面(RCS)测量需要复杂的仪器系统、昂贵的专用测试范围和操作,特别是在处理全尺寸目标时。因此,使用近场测试范围和非理想的消声环境进行RCS测量是一个非常有吸引力的选择。与这些主题相关的应用最近引起了越来越多的兴趣,特别是在低可观察平台和全尺寸组件的设计-原型循环中。为此,IDS已经开发和使用可靠的RCS测量解决方案和创新的处理技术超过十五年。本文通过回顾每个主要的不确定性来源(随机的和系统的),重点讨论了基于雷达图像的近场到远场RCS测量中的不确定性的主要贡献,并强调了可能的误差缓解策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Major Contributions on Uncertainty in Radar Image Based Near-field to Far-Field RCS Measurement
Reliable Radar Cross Section (RCS) measurements require complex instrumentation systems, expensive and dedicated test ranges and operations, especially when dealing with full-scale targets. Thus performing RCS measurements using near field test ranges and non-ideally anechoic environments is a very attractive option. Applications related to these topics have recently been of increasing interest especially in the design-prototyping loop of low observable platforms and full-scale components. To this purpose, IDS has been developing and using reliable RCS measurement solutions and innovative processing techniques for more than fifteen years. This paper focuses on the major contributions to uncertainty in radar image based near field to far-field RCS measurement, by reviewing each of the principal sources of uncertainty, both random and systematic, and underlining possible error mitigation strategies.
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