Integrated Circuit Modeling for Noise Susceptibility Prediction in Communication Networks

Fontana, Michele; Canavero, Flavio; Perraud, R.

doi:10.1109/temc.2015.2406664

Cited by 14 publications

(4 citation statements)

References 8 publications

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“…It showed great accuracy in measuring EMI‐induced error‐propagation jitters. In [34], RF immunity simulation was performed to predict the CAN behaviour under EMI and facilitate the network immunity analysis.…”

Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

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The in‐vehicular networked control system is among the most critical embedded processes. The controller area network (CAN) has prevailed intra‐vehicle communication for decades. Meanwhile, requirements of future transportation systems are expected to emphasise the in‐vehicle communication complexity, which endangers the reliability/safety of the intelligent navigation. At first, this study reviews the recent solutions proposed to overcome the CAN expanding complexity. Challenges that tomorrow's intelligent vehicles may raise for CAN reliability are investigated. The comprehensive coverage of current research efforts to remove the impact of these challenges is presented. Further, the in‐vehicle system reliability of future automated vehicles is also related to the fault diagnosis performances. Hence, different classes of system‐level diagnosis strategies are compared relatively to the requirements of automotive embedded networks. Furthermore, to thoroughly cover CAN reliability engineering issues, focus is given to the automotive validation techniques. The hardware in the loop, real‐time analysis and computer‐aided‐design tools intervene in various phases along the in‐vehicular network life cycle. Parameters that stand behind the efficiency and accuracy of these techniques in validating the new generation of vehicles are analysed. The authors finally draw some deductive predictions about the future directions related to the reliability of the intelligent transportation system in‐vehicular communication.

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Section: Requirements Of Tomorrow's Vehicles and Related Work About Cmentioning

confidence: 99%

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Lakhal

Nasri

Adouane

et al. 2020

IET intell. transp. syst

View full text Add to dashboard Cite

show abstract

“…The block parameters, such as comparator voltage threshold and internal propagation delay, have to be assessed from IC switching and DPI measurements in time domain. For further details about the AMS modeling procedure and the parameter estimation, the reader is referred to [6] and reference therein.…”

Section: A Can Transceivermentioning

confidence: 99%

“…In this contribution the Analog-Mixed Signal transceiver model presented in [6] is used together with a cable model to predict the behaviour of a real CAN network and to assess its performance in a noisy environment. Analog and digital waveforms measured along the network during a noise injection test are predicted accurately in time domain and the resulting immunity graph is built in a simulation environment.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic susceptibility assessment of controller area networks

Fontana

Canavero

Perraud

2014

2014 International Symposium on Electromagnetic Compatibility

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Mixed signal communication networks are used in electromagnetically noisy environment to establish a stable link between local systems. The ability to predict their EMC compliance to standard immunity tests in design phase is required. The paper focuses on an AMS modeling procedure allowing to describe the CAN bus behaviour when affected by disturbances. The network is simulated combining mixed-signal models of CAN transceiver, cables and noise injection circuits, correctly assessing at system level the relationship between analog and digital signals. The obtained model efficiently predicts the influence of a continuous wave disturbance and estimates the immunity graph obtained through standard testing in a design phase. An application example on a real CAN network concludes the paper and confirms its ability to assess EMC problems.

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“…Recently, simulation-based disturbance immunity testing methods have been proposed to overcome the drawbacks of measurement-based tests. To predict the IC-level immunity of DUTs, such as ICs and automotive components, both the noise source and the DUTs themselves have been modeled using equivalent circuit models and applied to immunity evaluation tests [10][11][12][13][14][15][16]. In system-level simulation-based immunity testing, three-dimensional (3D) models of the measurement setup and testing environment have been employed with electromagnetic field analyses and circuit simulation [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Modeling and Design Methodology of Double Exponential Pulse Generator for Simulation-Based Conducted Disturbance Immunity Testing

Moon

Kwon

Song

2023

J. Electromagn. Eng. Sci

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In this paper, an equivalent circuit model of a double-exponential pulse generator is proposed for use as a time-domain noise source in high-altitude electromagnetic pulse (HEMP) conducted disturbance immunity testing. The analytic relationship between the proposed equivalent circuit model and the source pulse requirements expressed by the test standards is derived. Based on this relationship, a design methodology for the equivalent circuit model is proposed to extract the circuit components that satisfy the source pulse requirements, particularly in the form of source impedance and pulse waveform requirements. The proposed design methodology is applied to design an equivalent circuit model of the double exponential pulse generator with various test modes in the conducted disturbance immunity test. The designed double exponential pulse generator is applied to a simulation-based conductive disturbance immunity testing platform based on the International Electrotechnical Commission (IEC) 61000-4-24 standard to validate the effectiveness of the proposed equivalent circuit model and design methodology.

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Integrated Circuit Modeling for Noise Susceptibility Prediction in Communication Networks

Cited by 14 publications

References 8 publications

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

Electromagnetic susceptibility assessment of controller area networks

A Modeling and Design Methodology of Double Exponential Pulse Generator for Simulation-Based Conducted Disturbance Immunity Testing

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