This paper investigates the performance of pulsar-based navigation in deep space mission applications. The noise properties of X-ray based and radio-baspulsar measurements are examined and compared. A closed form parametric covariance analysis tool was developed in this study. It provides a rough estimate of the navigation performance associated with a deep space cruise that makes use of ion thrusters and sequential pulsar observations. In addition, the flight trajectory of the Dawn spacecraft was used to form a hypothetical deep space mission scenario that utilizes pulsars as navigation beacons. This simulated scenario accounts for clock uncertainty, pulsar timing noise, maneuver execution errors, sequential observation and interruptions between pulsar observations. A particle filter was implemented to reduce the large initial position uncertainty by resolving the number of pulsar wavelengths between the spacecraft and the Solar System Barycenter. The resulting position and velocity uncertainties from the particle filter can be used to initialize an Extended Kalman Filter, which estimates the spacecraft position and velocity for steady state operations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Aspects of Pulsar Navigation for Deep Space Mission Applications


    Weitere Titelangaben:

    J Astronaut Sci


    Beteiligte:
    Chen, Po-Ting (Autor:in) / Zhou, Bonan (Autor:in) / Speyer, Jason L. (Autor:in) / Bayard, David S. (Autor:in) / Majid, Walid A. (Autor:in) / Wood, Lincoln J. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    36 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    X-Ray Pulsar Navigation (XNAV) for Deep-Space Autonomous Applications

    Mitchell, Jason / Gendreau, Keith | NTRS | 2017



    Deep Space Mission Design and Navigation

    Guinn, Joseph | NTRS | 2019


    Deep-Space Optical Navigation for M-ARGO Mission

    Franzese, V. / Topputo, F. / Ankersen, F. et al. | BASE | 2021

    Freier Zugriff