Details
Original language | English |
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Title of host publication | 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings |
Pages | 1876-1880 |
Number of pages | 5 |
ISBN (electronic) | 9789082797091 |
Publication status | Published - 2022 |
Event | 30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia Duration: 29 Aug 2022 → 2 Sept 2022 |
Publication series
Name | European Signal Processing Conference |
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Volume | 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.
Keywords
- automotive, fault tolerance, FFT, radar, signal processing, soft error
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Electrical and Electronic Engineering
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30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings. 2022. p. 1876-1880 (European Signal Processing Conference; Vol. 2022-August).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -