地球观测任务的航天器编队飞行轨道控制

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES
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引用次数: 0

摘要

合成孔径雷达(SAR)传感器在多种民用案例中备受关注,新空间初创公司已经发射并计划发射传感器到轨道上,以利用合成孔径雷达的独特功能来对地观测(EO)市场。与光学传感器不同,合成孔径雷达可以在任何光照条件下捕捉图像,并穿透云层,从而产生特殊的应用案例,使合成孔径雷达成为最可靠的传感器。例如,以毫米级精度监测土壤变形、石油泄漏、农作物虫害,以及光学传感器无法穿透云层或在夜间观测的典型 EO 用例。然而,由于难以解读,合成孔径雷达在民用方面的应用仍然有限。此外,与可直接使用合成孔径雷达数据的政府用户不同,大多数民用终端用户需要在数据基础上进行分析。为了发掘潜在的民用案例,许多专家认为,应在 EO 上游将光学 EO 数据与合成孔径雷达数据融合,因此建议光学传感器和合成孔径雷达传感器编队飞行。航天器编队飞行(SFF)是太空探索和 EO 太空任务的关键技术之一。本文介绍了一种 SFF EO 任务(合成孔径雷达和光学)的设计,考虑了轨道要求,以最大限度地实现 OptiSAR™ 星座的用户目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spacecraft formation flying orbital control for earth observation mission
Synthetic Aperture Radar (SAR) sensors have gained much attention for multiple civil use cases, where NewSpace startups have launched and planning to launch sensors to orbit to harvest the unique capabilities of SAR for the Earth Observation (EO) market. Unlike optical, SAR can capture images in all lighting conditions and penetrate cloud cover, generating exceptional use cases, which makes SAR the most reliable sensor. For example, monitoring soil deformation with millimeter accuracy, oil spills, crop lodging, and typical EO use cases of optical sensors that are unable to penetrate the clouds or see at night. However, SAR is still limited in civil use cases because it is tough to interpret. In addition, unlike government users who can consume the SAR data directly, most civil end-users need analytics on top of the data. To unlock the potential civil use cases, many experts believe that optical EO data should be fused with SAR at the EO upstream, thus suggesting optical and SAR sensors fly in formation. Spacecraft Formation Flying (SFF) is one of the key technology enablers for space exploration and EO space missions. This paper presents an SFF EO mission (SAR and Optical) design considering orbit requirements to maximize user objectives inspired by OptiSAR™ Constellation.
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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
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