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Signal and Power Integrity Design Methodology for High-Performance Flight Computing SystemsComputing capabilities of space systems have in-creased onboard performance by orders of magnitude with the use of radiation-tolerant field-programmable gate arrays (FPGA)and processors. The incorporation of signal and power integrity analysis with printed circuit board (PCB) design in reliable computing architectures for space systems has become critical to enable future mission capabilities. Developers launch high-performance processors into a breadth of orbits and missions, running varying applications that create challenges for designing reliable computing hardware. Specifically, for these designs, academic and industry research has focused on component radiation performance, fault mitigation, and reliable architectures. How-ever, other design parameters including electromagnetic interference (EMI), PCB stackup, signal integrity (SI), voltage regulator module (VRM) design, and power distribution network (PDN)are often deprioritized or disregarded as the design matures. Since these characteristics are becoming more significant in high-performance processor designs, this research presents a hardware design and analysis methodology for high-performance, space-computing systems that focuses on a holistic design approach and PDN reliability. While these challenges exist across all space hardware, the reduced PCB dimensions imposed by SmallSats and CubeSats introduce additional hurdles, specifically to VRM and decoupling design. By examining the relationship between the PDN and radiation performance, an analytical relationship is developed that incorporates Total Ionizing Dose and Single-Event Transients to ensure reliability throughout the mission duration. The presented design methodology is applied to the SpaceCube v3.0 Mini, an FPGA-based on-board science data processing system developed at NASA Goddard Space Flight Center.
Document ID
20210019757
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Nicholas G. Franconi
(University of Pittsburgh Pittsburgh, Pennsylvania, United States)
Alan D George
(University of Pittsburgh Pittsburgh, Pennsylvania, United States)
Alessandro D Geist
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Dennis Albaijes
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
August 3, 2021
Subject Category
Spacecraft Instrumentation And Astrionics
Avionics And Aircraft Instrumentation
Meeting Information
Meeting: IEEE Space Computing Conference (SCC)
Location: Virtual
Country: US
Start Date: August 23, 2021
End Date: August 26, 2021
Sponsors: IEEE Computer Society
Funding Number(s)
WBS: 981698.01.02.51.08.10.06
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Peer Committee
Keywords
Advanced avionics
Hybrid Processing
Data Processing
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