Identity Management of Clustered Satellites with a Generalized Labeled Multi-Bernoulli Filter
Tracking clustered satellites in the presence of noisy measurements creates a scenario where satellites are likely to be cross-tagged. This work focuses on the identity management of a closely spaced set of CubeSats immediately after a deployment. The main contribution is an identity management proc...
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| Veröffentlicht in: | Journal of guidance, control, and dynamics control, and dynamics, 2020-11, Vol.43 (11), p.2046-2057 |
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| container_title | Journal of guidance, control, and dynamics |
| container_volume | 43 |
| creator | Gaebler, John A Axelrad, Penina |
| description | Tracking clustered satellites in the presence of noisy measurements creates a scenario where satellites are likely to be cross-tagged. This work focuses on the identity management of a closely spaced set of CubeSats immediately after a deployment. The main contribution is an identity management process that augments the generalized labeled multi-Bernoulli filter to probabilistically handle identity assignments. The effectiveness of the method is demonstrated on simulated tracking data from the 88 Planet Labs Flock 3 CubeSats deployed on PSLV-C37. Simulation results indicate that the proposed identity management process can effectively establish identities within 3 days after deployment. |
| doi_str_mv | 10.2514/1.G004725 |
| format | Article |
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| identifier | ISSN: 0731-5090 |
| ispartof | Journal of guidance, control, and dynamics, 2020-11, Vol.43 (11), p.2046-2057 |
| issn | 0731-5090 1533-3884 |
| language | eng |
| recordid | cdi_proquest_journals_2452548950 |
| source | Alma/SFX Local Collection |
| subjects | Aerospace engineering Communication Cubesat Hypotheses Management Orbits Satellite tracking Satellites Space surveillance Surveillance |
| title | Identity Management of Clustered Satellites with a Generalized Labeled Multi-Bernoulli Filter |
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