| タイトル | Fast Kalman Filtering for Relative Spacecraft Position and Attitude Estimation for the Raven ISS Hosted Payload |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160001695 |
| 著者（英） | Van Eepoel, John; Galante, Joseph M.; Patrick, Bryan; D'Souza, Chris |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2016-02-05 |
| 言語 | eng |
| 内容記述 | The Raven ISS Hosted Payload will feature several pose measurement sensors on a pan/tilt gimbal which will be used to autonomously track resupply vehicles as they approach and depart the International Space Station. This paper discusses the derivation of a Relative Navigation Filter (RNF) to fuse measurements from the different pose measurement sensors to produce relative position and attitude estimates. The RNF relies on relative translation and orientation kinematics and careful pose sensor modeling to eliminate dependence on orbital position information and associated orbital dynamics models. The filter state is augmented with sensor biases to provide a mechanism for the filter to estimate and mitigate the offset between the measurements from different pose sensors |
| NASA分類 | Space Communications, Spacecraft Communications, Command and Tracking |
| レポートNO | GSFC-E-DAA-TN29584 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
