bd Systems (a subsidiary of SAIC) has developed a suite of embedded relative navigation sensor fusion algorithms to enable NASA autonomous rendezvous and docking (AR&D) missions. Translational and rotational Extended Kalman Filters (EKFs) were developed for integrating measurements based on the vehicles' orbital mechanics and high-fidelity sensor error models and provide a solution with increased accuracy and robustness relative to any single relative navigation sensor. The filters were tested tinough stand-alone covariance analysis, closed-loop testing with a high-fidelity multi-body orbital simulation, and hardware-in-the-loop (HWIL) testing in the Marshall Space Flight Center (MSFC) Flight Robotics Laboratory (FRL).


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Embedded Relative Navigation Sensor Fusion Algorithms for Autonomous Rendezvous and Docking Missions


    Contributors:

    Conference:

    Institute of Navigation National Technical Meeting 2008: Innovating together Exploring the Future Uses of Navigation of Technology ; 2008 ; San Diego, CA, United States


    Publication date :

    2008-01-28


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English





    Advances in multi-mission autonomous rendezvous and docking and relative navigation capabilities

    Miller, Kevin / Masciarelli, Jim / Rohrschneider, Reuben | IEEE | 2012


    Design of Relative GPS Navigation System for Autonomous Rendezvous Docking of ETS-VII

    Kawano, I. / Mokuno, M. / Suzuki, T. et al. | British Library Online Contents | 2001


    Autonomous GNC Algorithms for Rendezvous Missions to Near-Earth-Objects

    Gil-Fernandez, Jesus / Prieto-Llanos, Tomas / Cadenas-Gorgojo, Raul et al. | AIAA | 2008


    Relative navigation sensor for autonomous rendevous and docking

    Lamoreux, James / Pearson, Don / Kamerman, Gary et al. | SPIE | 2003