Clock Signal Recovery Algorithm for FPGA-based Microcontroller Near-Field EMI Measurement and Processing

Embedded systems exhibit variability in emitted EMI when executing different instructions. To further analyze EMI signals and identify their correlations with the internal behavior of a specific DUT (an FPGA-based microcontroller), an improved algorithm for processing clock signals is proposed to recover distorted clock waveforms. This approach allows for more accurate and stable FPGA-based microcontroller EMI signal segmentation and analysis. This technique can provide technical support for electromagnetic information leakage security analysis in embedded systems.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/emccompo61192.2024.10742055
Primary Topic
Advancements in PLL and VCO Technologies
Type
article
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article

Clock Signal Recovery Algorithm for FPGA-based Microcontroller Near-Field EMI Measurement and Processing

Yunling Wang, S. Chiang, Yuan-Fu Ku, Liang-Yang Lin et al.
Advancements in PLL and VCO Technologies
article

Clock Signal Recovery Algorithm for FPGA-based Microcontroller Near-Field EMI Measurement and Processing

Yunling Wang, S. Chiang, Yuan-Fu Ku, Liang-Yang Lin, Shih‐Yi Yuan
article en

Abstract

Embedded systems exhibit variability in emitted EMI when executing different instructions. To further analyze EMI signals and identify their correlations with the internal behavior of a specific DUT (an FPGA-based microcontroller), an improved algorithm for processing clock signals is proposed to recover distorted clock waveforms. This approach allows for more accurate and stable FPGA-based microcontroller EMI signal segmentation and analysis. This technique can provide technical support for electromagnetic information leakage security analysis in embedded systems.

Ministry of Economic Affairs (TW), Electronics Testing Center (TW), Feng Chia University (TW)
Affordable and clean energy
Openalex Percentile: Top 83%
Advancements in PLL and VCO Technologies
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