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首页> 外文会议>2019 IEEE International Symposium on Measurements amp; Networking >Major Contributions on Uncertainty in Radar Image Based Near-field to Far-Field RCS Measurement
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Major Contributions on Uncertainty in Radar Image Based Near-field to Far-Field RCS Measurement

机译：基于雷达图像的近场不确定度对远场RCS测量的主要贡献

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摘要

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.
机译：可靠的雷达横截面（RCS）测量需要复杂的仪器系统，昂贵且专用的测试范围和操作，尤其是在处理满量程目标时。因此，使用近场测试范围和非理想消声环境执行RCS测量是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已有15年以上。本文通过回顾随机性和系统性的每个不确定性的主要来源，并强调可能的误差缓解策略，着重研究了基于雷达图像的近场到远场RCS测量的不确定性的主要贡献。

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