Adapting the SpaceCube v2.0 data processing system for mission-unique application requirements

Petrick, David; Gill, Nat; Hassouneh, Munther A.; Stone, R. G.; Winternitz, Luke B.; Thomas, Luke; Davis, Milton; Sparacino, Pietro; Flatley, Thomas W.

doi:10.1109/ahs.2015.7231153

Cited by 11 publications

(4 citation statements)

References 4 publications

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“…This means that it fits in a 10 × 10 × 11.35 cm 3 CubeSat, weighing less than 0.1 kg and consuming around 2 W of electrical power. NASA Goddard Space Flight Center proposes using SpaceCube [59,60], which is an architecture based on space-grade FPGAs (e.g., Virtex-5QV). They develop a hybrid computing platform that consists of a CPU, DSP processors, and FPGA logic, with various versions already tested in a space environment.…”

Section: Survey Of Processing Platforms For Space Applicationsmentioning

confidence: 99%

High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation

Lentaris¹,

Maragos²,

Stratakos³

et al. 2018

Journal of Aerospace Information Systems

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Vision-based navigation has become increasingly important in a variety of space applications for enhancing autonomy and dependability. Future missions, such as active debris removal for remediating the low Earth orbit environment, will rely on novel high-performance avionics to support advanced image processing algorithms with substantial workloads. However, when designing new avionics architectures, constraints relating to the use of electronics in space present great challenges, further exacerbated by the need for significantly faster processing compared to conventional space-grade central processing units. With the long-term goal of designing highperformance embedded computers for space, in this paper, an extended study and tradeoff analysis of a diverse set of computing platforms and architectures (i.e., central processing units, multicore digital signal processors, graphics processing units, and field-programmable gate arrays) are performed with radiation-hardened and commercial offthe-shelf technology. Overall, the study involves more than 30 devices and 10 benchmarks, which are selected after exploring the algorithms and specifications required for vision-based navigation. The present analysis combines literature survey and in-house development/testing to derive a sizable consistent picture of all possible solutions. Among others, the results show that certain 28 nm system-on-chip devices perform faster than space-grade and embedded central processing units by 1-3 orders of magnitude, while consuming less than 10 W. Field-programmable gate array platforms provide the highest performance per watt ratio.

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Section: Survey Of Processing Platforms For Space Applicationsmentioning

confidence: 99%

High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation

Lentaris¹,

Maragos²,

Stratakos³

et al. 2018

Journal of Aerospace Information Systems

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“…While the next-generation version of the Navigator [11], can support such very weak tracking techniques, here we focus instead on predicting the performance for a flight-proven fully-autonomous high-altitude receiver, based on a model of its current capabilities, and backed up by two-and-a-half years of flight data.…”

Section: Selected Past Lunar Gps Researchmentioning

confidence: 99%

New High-Altitude GPS Navigation Results from the Magnetospheric Multiscale Spacecraft and Simulations at Lunar Distances

Winternitz

Bamford

Price³

2017

ION GNSS+, the International Technical Meeting of the Satellite Division of the Institute of Navigation

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is a navigation systems engineer at NASA Goddard in the Components and Hardware Systems branch, where he has worked since 2001 mainly on GPS receiver research and development. He was the system architect for Magnetospheric Multiscale (MMS) GPS receivers, and currently works on the SEXTANT X-ray pulsar navigation demonstration and Restore-L navigation filter software. He received his Ph.D. (2010) in Electrical Engineering from the

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“…In applications that are critical for spacecraft mission, such as Guidance Navigation and Control (GNC), the antifuse FPGA is replaced by a rad-hard processor such as a BAE Systems RAD750 [6] or a Cobham Gaisler Leon3 [18]. A couple of recent NASA instruments that use this classic architecture are the ChemCAM on the Mars Curiosity rover [4] and the Goddard Space Flight Center (GSFC) SpaceCube [5]. Hence, a SoC that includes these two components (processor + programmable logic) into a single chip is perfectly suited for space instrument payload systems.…”

Section: System-on-chip Technology and Its Use In Space Exploration Amentioning

confidence: 99%

“…as separate components distributed along one or several PCB board(s), which results in power consumption overheads and larger volume to be put into space [4,5]. Besides, currently existing space-grade processors (e.g., RAD750 [6]) are not suitable to be used in the next-generation spacecraft computing platforms because they do not provide sufficient performance and energy efficiency [7].…”

Section: Introductionmentioning

confidence: 99%

On the Use of System-on-Chip Technology in Next-Generation Instruments Avionics for Space Exploration

Iturbe

Keymeulen

Yiu

et al. 2016

VLSI-SoC: Design for Reliability, Security, and Low Power

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System-on-Chip (SoC) technology enables integrating all the functionality required to control and process science data delivered by space instruments in a single silicon chip (e.g., microprocessor + programmable logic). This chapter discusses the implications of using this technology in deep-space exploration avionics, namely in the next generation of NASA science instruments that will be used to explore our Solar system. We present here our experience at the NASA Jet Propulsion Laboratory (JPL) using Xilinx Zynq SoC devices to implement the data processing of a Fourier transform spectrometer, namely the Compositional InfraRed Imaging Spectrometer (CIRIS). Besides, we also discuss the different fault-tolerance techniques that have been implemented in the CIRIS controller SoC to deal with harsh radiation conditions prevailing in deep-space environments.

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Adapting the SpaceCube v2.0 data processing system for mission-unique application requirements

Cited by 11 publications

References 4 publications

High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation

High-Performance Embedded Computing in Space: Evaluation of Platforms for Vision-Based Navigation

New High-Altitude GPS Navigation Results from the Magnetospheric Multiscale Spacecraft and Simulations at Lunar Distances

On the Use of System-on-Chip Technology in Next-Generation Instruments Avionics for Space Exploration

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