11 July 2019 System-on-module-based long-life electronics for remote sensing imaging with CubeSats in low-earth-orbits
Tom Neubert, Heinz Rongen, Denis Froehlich, Georg Schardt, Markus Dick, Tobias Nysten, Egon Zimmermann, Martin Kaufmann, Friedhelm Olschewski, Stefan van Waasen
Author Affiliations +
Abstract
CubeSats have become very popular science platforms in the past decades, leading to a continuously increasing number of developers in the academic field. For science missions, customized payload electronics have to be developed, depending on measurement tasks and requirements. Especially for the deployment of complex remote sensing payloads, state-of-the-art performance is needed to provide operational control and specific data processing, e.g., for image sensors. Highly integrated system-on-module (SoM) architectures offer low resource requirements regarding power and mass, but moderate to high processing power capabilities. However, a requirement to use a standard SoM in a satellite is to quantify its radiation tolerance. The radiation environment has been modeled, estimating the hazards at module level and reducing the risks to an acceptable level by applying appropriate mitigation techniques. This approach results in a sensor electronics design that combines hardware and software redundancies to assure system availability and reliability for long-life science missions in low earth orbits. Integrated in a miniaturized limb sounding instrument for atmospheric remote sensing imaging, the payload electronics will be deployed on a technology demonstration satellite for in-orbit verification.
© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2019/$28.00 © 2019 SPIE
Tom Neubert, Heinz Rongen, Denis Froehlich, Georg Schardt, Markus Dick, Tobias Nysten, Egon Zimmermann, Martin Kaufmann, Friedhelm Olschewski, and Stefan van Waasen "System-on-module-based long-life electronics for remote sensing imaging with CubeSats in low-earth-orbits," Journal of Applied Remote Sensing 13(3), 032507 (11 July 2019). https://doi.org/10.1117/1.JRS.13.032507
Received: 29 January 2019; Accepted: 19 June 2019; Published: 11 July 2019
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Electronics

Remote sensing

Sensors

Imaging systems

Satellites

Logic

Commercial off the shelf technology

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