Print Email Facebook Twitter Autonomous Mission Planning for OLFAR: A Satellite Swarm in Lunar Orbit for Radio Astronomy Title Autonomous Mission Planning for OLFAR: A Satellite Swarm in Lunar Orbit for Radio Astronomy Author Mok, S. (TU Delft Space Systems Egineering) Guo, J. (TU Delft Space Systems Egineering) Gill, E.K.A. (TU Delft Space Engineering) Rajan, R.T. (TU Delft Electronics) Department Space Engineering Date 2020-10-10 Abstract Orbiting Low Frequency Array for Radio Astronomy (OLFAR) is a radio astronomy mission that has been studied since 2010 by several Dutch universities and research institutes. The mission aims at producing sky maps by collecting cosmic signals at ultra-low wavelengths regimes, below the 30 MHz frequency band. A satellite swarm comprising more than 10 satellites equipped with passive antennas will be deployed in space where the radio frequency interference can be minimized, e.g., on the far side of the moon. So far, several studies have been devoted to design the space segment, which consists of the payload and platform elements. However, the ground segment, particularly the mission planning system has not yet been designed in detail. In this paper, a systematical mission planning method for OLFAR is presented after a mission planning problem is formulated based on the current satellite design. Subject Mission planningradio astronomysatellite swarmlunar orbitground segmentautonomy To reference this document use: http://resolver.tudelft.nl/uuid:5515958d-f724-405d-84c8-3b90f815bd1b Publisher IAF/AIAA Embargo date 2021-01-01 Source 71st International Astronautical Congress (IAC): The CyberSpace Edition, 12-14 October 2020, 2020-October Event 71st International Astronautical Congress, 2020-10-12 → 2020-10-14 Series Proceedings of the International Astronautical Congress, IAC, 0074-1795 Bibliographical note Virtual/online event due to COVID-19. Accepted Author Manuscript Part of collection Institutional Repository Document type conference paper Rights © 2020 S. Mok, J. Guo, E.K.A. Gill, R.T. Rajan Files PDF 2020_sung_hoon_iac.pdf 1.53 MB Close viewer /islandora/object/uuid:5515958d-f724-405d-84c8-3b90f815bd1b/datastream/OBJ/view