Antenna Scheduling and Deconfliction Using Multi-Objective Optimization for Multiple Missions
- Paper number
IAC-19,B6,IP,5,x55107
- Author
Mr. Christopher Barsoum, United States, The Aerospace Corporation
- Year
2019
- Abstract
Developing contact schedules for antennas with complex ground and space systems is non-trivial. Contention between spacecraft for ground resources can lead to potential suboptimal performance for the mission given lower priority. For example, a weather satellite tends to value data latency, as highly latent weather data is of little use in forecasting models. To minimize performance losses for a user-based requirement such as latency, utilization of multi-objective optimization helps to identify a solution space of antenna linkages to space missions, trading off between desirable performance metrics. From here, an optimizer is implemented to resolve spacecraft contention based upon mission priority. In this study, scheduling of a notional space-to-ground architecture was optimized, over a dynamic 15-year period, against the various heterogeneous space missions, optimizing on metrics such as data latency and contact availability, while minimizing ground assets. This model can be applied against other optimization metrics, and across various levels of fidelity, depending upon application.
- Abstract document
- Manuscript document
(absent)