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- W2328964884 abstract "This paper presents the results of a simulation of an autonomous rendezvous in Mars orbit. The analysis is conducted in the context of a terminal rendezvous sequence for the Mars Sample Return mission currently planned by the European Space Agency. Relative orbit determination is carried out by an Extended Kalman Filter (EKF) in which the Clohessy-Wiltshire (CW) equations are used for state propagation. The EKF navigation is performed by processing chaser-to-target range and bearing data as observed by a scanning lidar instrument. A measurement model is defined to form angular observations of the target in the chaser satellite reference frame using direction cosines to accomodate the filter. The simulated lidar observations are generated by integration of the two-body equation in the Mars inertial frame. This setup was chosen in order to ensure an independent solution to the filter CW model. We use a stochastic noise model based on the specifications of the Rendezvous Laser Vision (RELAVIS) scanning lidar instrument currently being developed by industry for rendezvous-in-space applications. The filter state corresponds to the position and velocity of the target satellite in the CW frame. The navigation solution is assessed through analysis of residuals, covariance and geometric properties of the problem. Trajectory analysis and computation of rendezvous maneuvers are topics also discussed in the paper. This not only allows a complete simulation of the rendezvous, but also assesses the impact of a given maneuver’s delivery errors on the solution. Results show that both the filter and the guidance algorithms prove reliable in achieving rendezvous within the design requirements." @default.
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- W2328964884 date "2004-06-22" @default.
- W2328964884 modified "2023-10-17" @default.
- W2328964884 title "Lidar-Based Rendezvous Navigation for MSR" @default.
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- W2328964884 doi "https://doi.org/10.2514/6.2004-4987" @default.
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