The IceCube satellite is a 3U cubesat which was deployed from the International Space Station Nanoracks in May 2017. IceCube uses onboard Global Positioning System (GPS) measurements for both science data processing and orbit determination; additionally, IceCube uses Two Line Element (TLE) sets provided by USSTRATCOM through Space Track for ground station acquisition. Once acquired, GPS measurements are downlinked and can be verified against nearby TLE states.TLE sets are typically used for cubesat acquisition data, however the accuracy of their propagation has a limited lifespan which can cause issues when using an older TLE to attempt spacecraft acquisition. This presentation details the merits of TLE-based orbit determination and prediction and discusses techniques for improving both. These refinements allow for improved cubesat acquisition as well as calibration and on-orbit checkout of the GPS. Using IceCube data as representative of a typical cubesat, TLE states are simulated as tracking data and processed through an Extended Kalman Filter. This filtered solution provides not only an ongoing estimate of spacecraft drag state parameters, but also improves the definitive orbit determination estimation as well as the propagation accuracy and therefore spacecraft acquisition. Next, using the definitive TLE-based solution, raw GPS measurements are introduced into the filter where the combined measurement types allow the GPS measurements to be subsequently calibrated with respect to an unknown timing bias. These analyses provide a more accurate state estimation and prediction of cubesats during early orbit operations. Additionally, these techniques showcase methods for TLE-based state estimation and GPS calibration when other methods of tracking are unavailable.


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    Title :

    Assessment of TLE-Based Orbit Determination and Prediction for Cubesats


    Contributors:
    A. Smith (author)

    Publication date :

    2019


    Size :

    20 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English


    Keywords :



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