TY - GEN
T1 - Design of a synthetic population of geostationary space debris by statistical means
AU - Petit, Alexis
AU - Casanova, Daniel
AU - Dumont, Morgane
AU - Lemaitre, Anne
N1 - Funding Information:
The work of A. Petit is supported by a F.R.I.A Ph.D grant. The work of D. Casanova was supported by the Spanish Ministry of Economy and Competitiveness (Project no. ESP2013–44217–R) and the Research Group E48: GME. This research used resources of the “Plateforme Technologique de Calcul Intensif (PTCI)” (http://www.ptci.unamur.be) located at the University of Namur, Belgium, which is supported by the F.R.S.-FNRS under the convention No. 2.4520.11. The PTCI is member of the ”Consortium des quipements de Calcul Intensif (CCI)” (http://www.ceci-hpc.be).
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - We can observe and track objects located at the geostationary region with a size of approximately 1 meter by telescope means. However, a huge population of space debris still remains unknown for us. In this work, we propose to generate a synthetic (artificial) population of individual space debris, whose global characteristics are the same as the real one. We use two different tools; the first one, a combination of orbit propagators, fragmentation models, and historical data, and the second one, an Iterative Proportional Fitting (IPF) procedure, which allows to reconstruct the current population from partial data and statistical information.
AB - We can observe and track objects located at the geostationary region with a size of approximately 1 meter by telescope means. However, a huge population of space debris still remains unknown for us. In this work, we propose to generate a synthetic (artificial) population of individual space debris, whose global characteristics are the same as the real one. We use two different tools; the first one, a combination of orbit propagators, fragmentation models, and historical data, and the second one, an Iterative Proportional Fitting (IPF) procedure, which allows to reconstruct the current population from partial data and statistical information.
UR - http://www.scopus.com/inward/record.url?scp=85031002384&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85031002384
SN - 9780877036371
VL - 160
SP - 3451
EP - 3462
BT - Spaceflight Mechanics 2017
PB - Univelt Inc.
T2 - 27th AAS/AIAA Space Flight Mechanics Meeting, 2017
Y2 - 5 February 2017 through 9 February 2017
ER -