Jan 5, 2023 | Community, Team
As we go into the new year we want to take a chance to see all the great things our team accomplished this year – it’s hard to believe it all fit into 2022! Check out our video below, along with links to all the things we highlighted this year. (more…)
Jan 5, 2023 | Community, Team
The team members at Advanced Space are the key to our success. Meet Dr. Nathan (Parrish) Ré, one of the company’s first employees who has been with the company for almost eight years.
What got you interested in AI for space?
In 2013, about a year into my PhD at CU Boulder, I had a conversation with a childhood friend who was playing with AI computer vision in his free time. I got really interested in it, so I bought a textbook and spent the next year trying to figure out how to apply AI to astrodynamics. At the time, the technology was much less user-friendly and there wasn’t much to go on. It took a few years to figure out a practical application that could also get me my degree. (more…)
Nov 13, 2022 | CAPSTONE Mission, Community, Team
The CAPSTONE Countdown is nearly over! We are mere hours from arriving at the Moon, and there would be no mission without the incredible work of the Advanced Space CAPSTONE Mission Operations Team. From orbit determination and navigation to all the details behind the scenes, thank you to this talented team of engineers, technicians, and more: (more…)
Oct 18, 2022 | Papers & Presentations
Presented at the Advanced Maui Optical and Space Surveillance Technologies (AMOS) 2022 Conference
Michael R. Thompson, Matthew D. Popplewell, Bradley Cheetham
ABSTRACT
This study evaluates the potential observability benefits of space-based passive RF systems compared to other ground-based and space-based observers for cislunar Space Domain Awareness. TDoA and FDoA observations are used for orbit determination of objects in the lunar vicinity using observers in GEO and XGEO. The results are compared to ground-based observations in order to analyze the performance gains over existing architectures. Results show using space-based systems result in faster filter convergence and more accurate state estimates.
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Oct 13, 2022 | Papers & Presentations
Hard to believe IAC 2022 was a few weeks ago and the year is almost over! In case you weren’t one of the lucky attendees to the Paris show, we’ve added our presented papers below for download and review. (more…)