Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings |
Seiten | 1876-1880 |
Seitenumfang | 5 |
ISBN (elektronisch) | 9789082797091 |
Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | 30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbien Dauer: 29 Aug. 2022 → 2 Sept. 2022 |
Publikationsreihe
Name | European Signal Processing Conference |
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Band | 2022-August |
ISSN (Print) | 2219-5491 |
Abstract
Soft errors, such as bit flips, pose a serious threat to the functional safety of systems. Thus, ensuring the correct operation even in case of errors is particularly relevant for safety-critical applications. In this paper, we present a novel error detection and mitigation method for parallel FFTs in radar signal processing. We systematically define small observation windows in the 2D spectrum to detect peaks caused by soft errors. This enables protecting FFTs with several orders of magnitude lower computational overhead compared to related work. We conduct fault injection experiments to validate our method. Our experiments show that targets can be reliably detected even at higher error rates where more than 500 bit flips are present.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings. 2022. S. 1876-1880 (European Signal Processing Conference; Band 2022-August).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection
AU - Beyer, Michael
AU - Guntoro, Andre
AU - Blume, Holger
N1 - Funding information: ACKNOWLEDGMENTS This work was supported by the German federal ministry of education and research (BMBF), project ZuSE-KI-AVF under grant no. 16ME0062.
PY - 2022
Y1 - 2022
N2 - Soft errors, such as bit flips, pose a serious threat to the functional safety of systems. Thus, ensuring the correct operation even in case of errors is particularly relevant for safety-critical applications. In this paper, we present a novel error detection and mitigation method for parallel FFTs in radar signal processing. We systematically define small observation windows in the 2D spectrum to detect peaks caused by soft errors. This enables protecting FFTs with several orders of magnitude lower computational overhead compared to related work. We conduct fault injection experiments to validate our method. Our experiments show that targets can be reliably detected even at higher error rates where more than 500 bit flips are present.
AB - Soft errors, such as bit flips, pose a serious threat to the functional safety of systems. Thus, ensuring the correct operation even in case of errors is particularly relevant for safety-critical applications. In this paper, we present a novel error detection and mitigation method for parallel FFTs in radar signal processing. We systematically define small observation windows in the 2D spectrum to detect peaks caused by soft errors. This enables protecting FFTs with several orders of magnitude lower computational overhead compared to related work. We conduct fault injection experiments to validate our method. Our experiments show that targets can be reliably detected even at higher error rates where more than 500 bit flips are present.
KW - automotive
KW - fault tolerance
KW - FFT
KW - radar
KW - signal processing
KW - soft error
UR - http://www.scopus.com/inward/record.url?scp=85141010511&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85141010511
SN - 978-90-827970-8-4
SN - 978-1-6654-6799-5
T3 - European Signal Processing Conference
SP - 1876
EP - 1880
BT - 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
T2 - 30th European Signal Processing Conference, EUSIPCO 2022
Y2 - 29 August 2022 through 2 September 2022
ER -