NASA Goddard Space Flight Center is developing Autonomous Navigation Guidance and Control (autoNGC) as a flight software system for future onboard use for missions in a variety of orbital regimes, including cislunar space and beyond. This paper describes processor-in-the-loop (PIL) testing using a lunar landing scenario with terrain relative navigation (TRN) and weak-signal GPS. We give an overview of the autoNGC project and describe preliminary navigation simulation results. We also describe the TRN PIL tests on a flight-like development board, using simulated images rendered from Lunar Reconnaissance Orbit high-resolution digital terrain models. The navigation simulations show that weak-signal GPS combined with TRN during a descent from a low lunar parking orbit results in sufficiently low navigation uncertainties to support such a mission profile independent of ground-based navigation. The PIL tests show that onboard image processing and landmark correlation is achievable at a sufficiently high measurement rate.


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    Titel :

    Terrain Relative Navigation in a Lunar Landing Scenario Using autoNGC


    Beteiligte:
    M. A. Shoemaker (Autor:in) / S. Hur-Diaz (Autor:in) / A. J. Liounis (Autor:in) / J. M. V. Eepoel (Autor:in) / M. J. Romeo (Autor:in) / V. C. Wu (Autor:in) / S. D. Dangelo (Autor:in) / N. Hatten (Autor:in) / L. G. Schlenker (Autor:in) / S. P. Hughes (Autor:in)

    Erscheinungsdatum :

    2022


    Format / Umfang :

    0 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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