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Recognition of objects in orbit and their intentions with space-borne sub-THz Inverse Synthetic Aperture Radar
IET Radar Sonar and Navigation ( IF 1.7 ) Pub Date : 2023-12-08 , DOI: 10.1049/rsn2.12513
Mikhail Cherniakov 1 , Edward G. Hoare 1 , Marina Gashinova 1 , Emidio Marchetti 2 , Andrew G. Stove 1
Affiliation  

An important aspect of Space Situational Awareness is to estimate the intent of objects in space. This paper discusses how discriminating features can be obtained from Inverse Synthetic Aperture Radar images of such objects and how these discriminators can be used to recognise the objects or to estimate their intent. If the object is, for example, a satellite of a known type, the scheme proposed is able to recognise it. The ability of the scheme to detect damage to the object is also discussed. The focus is on imagery obtained in the sub-terahertz band (typically 300 GHz) because of the greater imaging capability given by the diffuse scattering which is observed at these frequencies. The paper also discusses the importance of being able to use images obtained by electromagnetic simulation to be able to train the subsystem which recognises features of the objects and describes a practical scheme for creating these simulations for large objects at these very short wavelengths.

中文翻译:

利用星载亚太赫兹逆合成孔径雷达识别在轨物体及其意图

空间态势感知的一个重要方面是估计空间中物体的意图。本文讨论了如何从此类物体的逆合成孔径雷达图像中获得判别特征,以及如何使用这些判别器来识别物体或估计其意图。例如,如果物体是已知类型的卫星,则所提出的方案能够识别它。还讨论了该方案检测物体损坏的能力。重点是在亚太赫兹频段(通常为 300 GHz)获得的图像,因为在这些频率下观察到的漫散射具有更强的成像能力。本文还讨论了能够使用电磁模拟获得的图像来训练识别物体特征的子系统的重要性,并描述了在这些非常短的波长下为大型物体创建这些模拟的实用方案。
更新日期:2023-12-08
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