NASA Deep Space Network Support During Artemis I Mission Operations
- Paper number
IAC-23,B3,4-B6.4,1,x77979
- Author
Mrs. Kathleen Harmon, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. Brad Arnold, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. Michael Levesque, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. Jeff Berner, National Aeronautics and Space Administration (NASA), Jet Propulsion Laboratory, United States
- Coauthor
Dr. Mark Johnston, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. Sami Asmar, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. Timothy Pham, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Dr. Stephen Lichten, Jet Propulsion Laboratory - California Institute of Technology, United States
- Coauthor
Mr. David Berry, Jet Propulsion Laboratory - California Institute of Technology, United States
- Year
2023
- Abstract
NASA's Deep Space Network (DSN) supports a wide range of mission customers, from robotic scientific missions, to technology demonstrations, to human spaceflight (HSF) endeavors, including NASA's flagship Artemis missions to the Moon. With the successful completion of the Artemis I mission in 2022, DSN has gained valuable experience in working with human spaceflight operational teams, facilities, and processes. This paper describes DSN experiences supporting the Artemis I operational mission. Topics covered include DSN performance and reliability, interface management, collaboration with partners, and network loading. Lessons learned and future areas of focus will be detailed. Experiences from Artemis I will be applied to future missions, including Artemis II and beyond.
- Abstract document
- Manuscript document
IAC-23,B3,4-B6.4,1,x77979.pdf (🔒 authorized access only).
To get the manuscript, please contact IAF Secretariat.