This study was conducted to optimize message scheduling for both single satellite and multiple satellites located at the inclined geosynchronous orbit and geostationary orbit in order to reduce TTFF (Time to First Fix) and obtain accurate positioning solutions. For single satellite message scheduling, simulations were performed using weights from previous research, applying both rigid and dynamic methods based on existing studies. For multiple satellites, grouping was performed based on the given multiple satellite's orbital characteristics and visibility on the ground, and messages were scheduled by giving weights to the elevation angle. The study found that simply increasing the number of satellites does not necessarily reduce TTFF. Instead, by considering other constraints and applying different approaches based on the receiver's environment such as urban or equatorial region, optimized values could be found to produce the best positioning. In urban environments or during the periods of severe solar activity, promptly providing ionospheric error corrections quickly lead to more accurate positioning.
KSP Keywords
Accurate positioning, Dynamic methods, Geostationary Orbit, Geosynchronous orbit, Ionospheric error, Multiple satellites, Operational scenario, Positioning accuracy, Single satellite, Solar activity, Time to first fix
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