Resilience and Performance of Nontraditional Space Situational Awareness Sensor Architectures
There is increasing interest in the adoption of distributed, multidomain space situational awareness (SSA) sensor architectures as a means of improving both mission performance and resilience while decreasing total cost. One promising concept calls for augmenting legacy terrestrial architectures with opportunistic sensors hosted on government and commercial spacecraft. This research explores this concept by simulating the observability of resident space objects (RSOs) in medium Earth orbit (MEO) and geosynchronous orbit (GEO) by 3300 candidate sensor network architectures. Over a simulated [Formula: see text] period, a network composed of 4 terrestrial telescopes and 10 hosted payloads in low Earth orbit revisited each of over 1200 MEO and GEO RSOs in under [Formula: see text]. This network also proved to be highly resilient, maintaining this revisit rate in an environment in which all terrestrial telescopes were inoperable. In this maximally degraded environment, over 600 space-based sensor networks were still capable of revisiting each RSO in under [Formula: see text]. Results of this research suggest that space-based opportunistic hosted payloads stand to concurrently improve the performance and resilience of existing SSA sensor networks used for deep space object catalog maintenance.
Authors
- Ian Claypool
- Olivier de Weck (ORCID: https://orcid.org/0000-0001-6677-383X)
- Christopher D. Tommila (ORCID: https://orcid.org/0009-0002-4948-2277)
- Daniel C. Gochenaur (ORCID: https://orcid.org/0000-0001-8083-2285)
- Michael Jones (ORCID: https://orcid.org/0000-0002-5145-9423)
Institutions
- Draper Laboratory (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Journal of Spacecraft and Rockets
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2514/1.a36248
- Primary Topic
- Risk and Safety Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Charles Stark Draper Laboratory