Initial conditions uncertainties due to the separation from the launcher affects the orbit estimation problem, especially when the information is needed almost immediately after the release. Problems increase when several spacecraft, as in the frequent case of multiple launches, have to be tracked at the same time. Specifically, the case where a ground station i.e. very far from the targets, tracks a sequence of releases at short intervals creates the chance of some misunderstanding in measurements attribution among the different spacecraft. The paper examines the possible application of estimation theory advances, as a variable attribution modified Kalman filtering or the dense filtering to the problem of multiple spacecraft separation in LEO.
Effective orbit determination following multiple spacecraft separation / F., Reali; Palmerini, Giovanni Battista. - STAMPA. - 8:(2008), pp. 4828-4843. (Intervento presentato al convegno 59th International Astronautical Congress 2008, IAC 2008 tenutosi a Glasgow nel 29 September 2008 through 3 October 2008).
Effective orbit determination following multiple spacecraft separation
PALMERINI, Giovanni Battista
2008
Abstract
Initial conditions uncertainties due to the separation from the launcher affects the orbit estimation problem, especially when the information is needed almost immediately after the release. Problems increase when several spacecraft, as in the frequent case of multiple launches, have to be tracked at the same time. Specifically, the case where a ground station i.e. very far from the targets, tracks a sequence of releases at short intervals creates the chance of some misunderstanding in measurements attribution among the different spacecraft. The paper examines the possible application of estimation theory advances, as a variable attribution modified Kalman filtering or the dense filtering to the problem of multiple spacecraft separation in LEO.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.