Article (Scientific journals)
Modelling Detection Distances to Small Bodies Using Spacecraft Cameras
FRANZESE, Vittorio; HEIN, Andreas
2023In Modelling, 4 (4), p. 600-610
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Abstract :
[en] Small bodies in the Solar System are appealing targets for scientific and technological space missions, owing to their diversity in intrinsic and extrinsic properties, besides orbit and other factors. Missions to small bodies pass through the critical onboard object detection phase, where the body’s light becomes visible to the spacecraft camera. The relative line-of-sight to the object is acquired and processed to feed relative guidance and navigation algorithms, therefore steering the spacecraft trajectory towards the target. This work assesses the distance of detection for each small body in the Solar System considering the target radiometric properties, three typical spacecraft camera setups, and the relative observation geometry by virtue of a radiometric model. Several uncertainties and noises are considered in the modelling of the detection process. The detection distances for each known small body are determined for small-, medium-, and large-class spacecraft. This proves useful for early mission design phases, where a waypoint for detection needs to be determined, allowing the shift from an absolute to a relative guidance and navigation phase. The work produces an extensive dataset that is freely accessible and useful for teams working on the design phases of space missions.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
FRANZESE, Vittorio  ;  University of Luxembourg
HEIN, Andreas  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPASYS
External co-authors :
no
Language :
English
Title :
Modelling Detection Distances to Small Bodies Using Spacecraft Cameras
Publication date :
17 November 2023
Journal title :
Modelling
eISSN :
2673-3951
Publisher :
MDPI AG
Volume :
4
Issue :
4
Pages :
600-610
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 22 November 2023

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