This thesis presents Deep Space Network (DSN) measurement model for precise orbit determination of Korea Pathfinder Lunar Orbiter (KPLO). DSN measurement model simulates computed values similar to actual measurement, using the dynamic model of a probe...
This thesis presents Deep Space Network (DSN) measurement model for precise orbit determination of Korea Pathfinder Lunar Orbiter (KPLO). DSN measurement model simulates computed values similar to actual measurement, using the dynamic model of a probe. Since inaccurate measurement model has a direct influence on the results of orbit determination, it is crucial to use a more accurate measurement model.
DSN measurement model computes two-way range and Doppler observables. Range is defined as round-trip distance between a transmission ground station, a spacecraft and a reception ground station. Doppler observable refers to range rate between the ground station and the spacecraft. It is critical to accurately calculate the light travel time between the spacecraft and the ground station to accurately compute range and Doppler observable. To accomplish this, Light Time Equation is solved using Newton-Rhapson method, and light time is calibrated through various correction models. This study considers the signal delay due to Tropospheric layer, Ionospheric layer and antenna axis offsets.
DSN data simulation module is verified using tracking data of Lunar Prospector and simulation result from GMAT (General Mission Analysis Tool). The reason for using the tracking data is that this software requires a high-level verification. The significance of this research is that it achieved the localization of deep space exploration technologies. In addition, results from this research could be utilized for future deep space explorations.