This project will develop an efficient smoothing software for incremental estimation of the relative poses and velocities between multiple, small spacecraft in a formation, and a small, long range depth sensor based on coded aperture imaging that is capable of identifying other spacecraft in the formation. The smoothing algorithm will obtain the maximum a posteriori estimate of the relative poses between the spacecraft by using all available sensor information in the spacecraft formation.This algorithm will be portable between different satellite platforms that possess different sensor suites and computational capabilities, and will be adaptable in the case that one or more satellites in the formation become inoperable. It will obtain a solution that will approach an exact solution, as opposed to one with linearization approximation that is typical of filtering algorithms. Thus, the algorithms developed and demonstrated as part of this program will enhance the applicability of small spacecraft to multi-platform operations, such as precisely aligned constellations and fractionated satellite systems.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Smoothing-Based Relative Navigation and Coded Aperture Imaging



    Publication date :

    2017-08-07


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English





    Coded Aperture Imaging

    Alvar Saenz-otero / Carl C Liebe / Timothy Philip Setterfield | NTRS


    Coded Aperture Imaging

    Setterfield, Timothy / Liebe, Carl C. / Saenz-Otero, Alvar | NTRS | 2021


    Synthetic-Aperture-Radar–Based Spacecraft Terrain Relative Navigation

    Pogorelsky, Bryan S. / Zanetti, Renato / Chen, Jingyi et al. | AIAA | 2022


    QUANTITATIVE HOLDUP DETERMINATIONS USING CODED-APERTURE GAMMARAY IMAGING

    Ziock, Klaus-Peter / Blackston, Matthew / Daughhetee, Jacob et al. | TIBKAT | 2022