Onboard autonomous conjunction analysis with optical sensor

Onboard autonomous conjunction analysis with optical sensor

Luca Capocchiano, Michele Maestrini, Mauro Massari, Pierluigi Di Lizia

download PDF

Abstract. The increasingly high number of spacecrafts orbiting our planet requires continuous observation to predict hazardous conjunctions. Direct onboard analysis would allow to ease the burden on ground infrastructure and increase the catalogued debris. A spaceborne optical sensor is used to assess the performance in terms of different targets visibility. A fast relative orbit determination algorithm is then proposed to compute the probability of collision for a particular case study and compared to a more accurate ground analysis.

Relative Orbit Determination, Optical Sensor, Batch Filter, Conjunction Analysis

Published online 11/1/2023, 4 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Luca Capocchiano, Michele Maestrini, Mauro Massari, Pierluigi Di Lizia, Onboard autonomous conjunction analysis with optical sensor, Materials Research Proceedings, Vol. 37, pp 526-529, 2023

DOI: https://doi.org/10.21741/9781644902813-115

The article was published as article 115 of the book Aeronautics and Astronautics

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

[1] A. Morselli. High order methods for space situational awareness. 2014.
[2] N. Faraco, G. Purpura, P. Di Lizia, M. Massari, M. Peroni, A. Panico, A. Cecchini, F. Del Prete. SNOS: automatic optical observation scheduling for sensor networks. 9th European Conference for Aerospace Sciences (EUCASS 2022), pages 1–11, 2022.
[3] B. Schutz, B. Tapley, and G. H. Born. Statistical orbit determination. Elsevier, 2004. https://doi.org/10.1016/B978-012683630-1/50020-5
[4] A. De Vittori, M. F. Palermo, P. Di Lizia, and R. Armellin. Low-thrust collision avoidance maneuver optimization. Journal of Guidance, Control, and Dynamics, 45(10):1815–1829, 2022. https://doi.org/10.2514/1.G006630
[5] F. K. Chan et al. Spacecraft collision probability. Aerospace Press El Segundo, CA, 2008. https://doi.org/10.2514/4.989186