Soft error assessment of attitude estimation algorithms running in a resource-constrained device under neutron radiation
conference contribution
posted on 2024-03-13, 10:53 authored by Jonas Gava, Tarso Kraemer Sarzi Sartori, Alex HannemanAlex Hanneman, Rafael Garibotti, Ney Calazans, Hassen Fourati, Rodrigo Possamai Bastos, Ricardo Reis, Luciano OstLuciano OstThis paper assesses the soft error reliability of attitude estimation algorithms running on a resource-constrained microprocessor under neutron radiation. Results suggest that the EKF algorithm has the best trade-off between reliability and runtime overhead.
Funding
MultiRad (PAI project funded by Région Auvergne-Rhône-Alpes)
DTP 2018-19 Loughborough University
Engineering and Physical Sciences Research Council
Find out more...IRT Nanoelec (ANR-10-AIRT-05 project funded by French PIA)
UGA/LPSC/GENESIS platform
CAPES
CNPq (grants no. 317087/2021-5 and 407477/2022-5)
FAPERGS
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
RADECS 2023 - International Conference on Radiation and its Effects on Components and SystemsPages
1 - 4Source
RADiation and its Effects on Components and Systems Conference (RADECS 2023)Publisher
HALVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Conference Paper. It is published under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2023-06-16Publication date
2023-12-13Copyright date
2023Publisher version
Language
- en
Location
Toulouse, FranceEvent dates
25th September 2023 - 29th September 2023Depositor
Dr Luciano Ost. Deposit date: 21 June 2023Usage metrics
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