Paper
21 May 2013 An onboard computing system design for a remote sensing cubesat
Author Affiliations +
Abstract
Characterization activities related to near-Earth asteroids (NEAs) provide several societal benefits. This work can serve as a precursor to a human exploration mission, it can facilitate the assessment of targets for resource extraction, and it can serve as preparation for intervention against the threat posed by an Earth impactor (EI). One objective of ongoing work at the University of North Dakota is to develop the capabilities required for NEA characterization. A CubeSatclass spacecraft will serve to demonstrate and test these required technologies on-orbit. This 1U CubeSat, which is compliant with NASA ELaNA CubeSat Launch Initiative requirements, will be comprised of standard subsystems (excluding propulsion) and a payload consisting of a visible light camera, a limited radio science package and a GPS receiver. The craft will also feature extensive onboard computing capabilities to allow it to process data to perform mosaicking, super-resolution and rudimentary image feature identification and analysis. This paper focuses on the onboard computing subsystem of this spacecraft which consists of a standard flight computer based on the AMTEL AT91SAM9G20 chipset and a supplemental processing unit based on several GumStix computeron- module (COM) units. The key design requirement: having an always-on primary processing unit and supplemental capabilities (including a digital signal processor) that can be powered on for use only when required and how the current design meets these requirements is reviewed. A detailed review of the spacecraft’s design and mission operations plan is presented. The numerous trades required to allow the requisite payload and onboard processing hardware to fit within the size and weight limitations posed by the 1U CubeSat form factor are discussed. Finally, the paper concludes with a review of the functionality provided by the spacecraft and the future capabilities that this functionality will facilitate.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy Straub "An onboard computing system design for a remote sensing cubesat", Proc. SPIE 8739, Sensors and Systems for Space Applications VI, 873905 (21 May 2013); https://doi.org/10.1117/12.2018521
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Space operations

Asteroids

Computing systems

Data processing

Image processing

Data modeling

Super resolution

Back to Top