Rodriguez-Villamizar, Julian; Schildknecht, Thomas (2023). Laser ranging data processing engine at the Expert Centre for Space Safety. In: Proceedings of 2nd ESA NEO and debris detection conference. Darmstadt, Germany.
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To pave the way towards a sustainable use of the outer
space, the Expert Centre for Space Safety (ExpCen) co-
ordinates data acquisition and exchange for passive and
active sensors operating in different spectral regions, and
configurations, aiming at diverse target objects. Within
the optical regime, ongoing efforts address the validation
and qualification (V&Q) of passive optical and space de-
bris laser ranging sensors, which is an integral service
that comprises the interfacing and tasking of the candi-
date sensor, in addition to retrieving and post-processing
the acquired observations to ensure the compliance with
predefined quality metrics. The candidate sensor will be
certified for participating in future campaigns, after suc-
cessful completion of V&Q, besides being provided with
technical support and system-related feedback to success-
fully complete the V&Q. Regarding active optical sys-
tems, the ExpCen does not only profit from the profound
legacy from the Satellite Laser Ranging (SLR) commu-
nity, but the outcome of different activities conducted
within the development and establishment of the Exp-
Cen. In this paper, we will describe the architecture of
the ExpCen laser ranging processing engine, including
algorithms, new in-house developments and future im-
provements. Furthermore, after the compilation of results
and lessons learnt from past activities, we redefine the re-
quirements for validation and qualification of candidate
sensors.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Astronomy |
UniBE Contributor: |
Rodriguez Villamizar, Julian Camilo, Schildknecht, Thomas |
Subjects: |
500 Science > 520 Astronomy |
Language: |
English |
Submitter: |
Alessandro Vananti |
Date Deposited: |
08 Dec 2023 16:09 |
Last Modified: |
08 Dec 2023 16:09 |
BORIS DOI: |
10.48350/189932 |
URI: |
https://boris.unibe.ch/id/eprint/189932 |
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