We propose a decentralized Kalman-based filter for absolute localization within a general swarm of small-sats, combining standard GNSS with inter-satellite ranging measurements. Differently from a centralized approach, each agent is responsible only for its own state estimation, yet exploits information from the rest of the fleet. The proposed approach reduces the uncertainty on the absolute position of more than one order of magnitude if compared to the case of GNSS-only measurement. Results are provided by extensive Monte Carlo simulations.
Oliva, F., Martinelli, F., Sassano, M., Carnevale, D. (2023). A decentralized position observer for small-sat swarms exploiting GNSS and ranging measurements. In 2023 International Conference on Control, Automation and Diagnosis (ICCAD). New York : IEEE [10.1109/ICCAD57653.2023.10152374].
A decentralized position observer for small-sat swarms exploiting GNSS and ranging measurements
Oliva F.
Membro del Collaboration Group
;Martinelli F.Membro del Collaboration Group
;Sassano M.Membro del Collaboration Group
;Carnevale D.Membro del Collaboration Group
2023-01-01
Abstract
We propose a decentralized Kalman-based filter for absolute localization within a general swarm of small-sats, combining standard GNSS with inter-satellite ranging measurements. Differently from a centralized approach, each agent is responsible only for its own state estimation, yet exploits information from the rest of the fleet. The proposed approach reduces the uncertainty on the absolute position of more than one order of magnitude if compared to the case of GNSS-only measurement. Results are provided by extensive Monte Carlo simulations.| File | Dimensione | Formato | |
|---|---|---|---|
|
IEEE 4.pdf
solo utenti autorizzati
Tipologia:
Versione Editoriale (PDF)
Licenza:
Copyright dell'editore
Dimensione
1.08 MB
Formato
Adobe PDF
|
1.08 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
