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Automated Communication, Ocean, and Meteorological Satellite Operational Orbit System
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- Authors
- Yoo La Hwang, Byoung Sun Lee, Hae Yeon Kim, Jae Hoon Kim
- Issue Date
- 2006-06
- Citation
- AIAA International Communications Satellite Systems Conference (ICSSC) 2006, pp.405-413
- Publisher
- AIAA
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents automated geostationary satellite operational orbit function for the operational orbit prediction and orbit determination using Batch type filter and Extended Kalman filter. The Extended Kalman filter is autonomously accomplished for near real-time orbit determination process to relieve operator's load since ranging and angle-tracking data are transmitted to the Flight Dynamics Subsystem (FDS) every hour. The post-time orbit determination uses Batch type filter with more than two-day data arc length collected every hour. The orbit prediction and post-time orbit determination are performed only if operator types the start and end time as an input by Graphical User Interface (GUI) with default dynamic and estimation parameter options. We design the automated operational orbit system based on the object-oriented design using Agora Plastic® tool. The results of the propagated orbit determination for two-day simulated antenna data with 0.025-degree noise and 0.02-degree constant bias show roughly 10 km (one-sigma) Root-Sum-Squares (RSS) error using Earth gravitational model, luni-solar perturbation, and solar radiation pressure dynamic models when compared to the truth orbit in spite that COMS locates near longitude of ground station.
- KSP Keywords
- Dynamic Models, Flight dynamics, Geostationary satellite, Orbit prediction, Pressure dynamic, Real-time orbit determination, Tracking data, User interface(UI), arc length, estimation parameter, extended kalman filter