The paper compares two Kalman Filters (KFs) to complement Real-Time Kinematic (RTK) method with a relative velocity estimate in the framework of CubeSat formation flying in Low Earth Orbit (LEO). One KF is a standard constant velocity implementation, whereas the second KF include relative dynamics through Hill's model. Both filters are intended to support GNSS-based closed loop real-time onboard orbit control of relative separations in a cluster of CubeSats implementing the concept of Distributed Synthetic Aperture Radar (DSAR).
Relative Velocity Estimation in a Cluster of CubeSats by Differential GNSS / Pelliccia, F.; Renga, A.; Causa, F.; Fasano, G.; Piccolo, A.; Menzione, F.. - (2025), pp. 672-677. ( 12th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2025 ita 2025) [10.1109/MetroAeroSpace64938.2025.11114559].
Relative Velocity Estimation in a Cluster of CubeSats by Differential GNSS
Pelliccia F.;Renga A.;Causa F.;Fasano G.;
2025
Abstract
The paper compares two Kalman Filters (KFs) to complement Real-Time Kinematic (RTK) method with a relative velocity estimate in the framework of CubeSat formation flying in Low Earth Orbit (LEO). One KF is a standard constant velocity implementation, whereas the second KF include relative dynamics through Hill's model. Both filters are intended to support GNSS-based closed loop real-time onboard orbit control of relative separations in a cluster of CubeSats implementing the concept of Distributed Synthetic Aperture Radar (DSAR).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
