Modelling Field Bus Communications in Mixed-Signal Embedded Systems

Alassir, Mohamad; Denoulet, Julien; Romain, Olivier; Suissa, Abraham; Garda, Patrick

doi:10.1155/2008/134798

Cited by 9 publications

(6 citation statements)

References 1 publication

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“…We achieved an error of about 3% for the neural network based TDF model with respect to the RLC ELN model of [8]. This validates the performances of our method.…”

Section: Discussionsupporting

confidence: 77%

“…These results are validated by comparing them to the simulation of the same system with Alassir's method [8].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The slave is a memory device, which will be accessed by the master in the course of simulation. The functional modules of the master and the slave node were introduced in [8]. Although the nodes in our platform are digital, analog functions of a node (for instance a sensor) could be modeled as well in SystemC-AMS.…”

Section: A Functional Modulesmentioning

confidence: 99%

“…Alassir et al [8] tried to address this issue by presenting a modeling methodology using SystemC-AMS [9]. This modeling methodology allows to simulate the execution of the embedded software and its analog response on the lines of a communication bus.…”

Section: Introductionmentioning

confidence: 99%

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High level modeling of signal integrity in field bus communication with SystemC-AMS

Wang

Denoulet

Vallette

et al. 2012

2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012)

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This paper presents a novel method for modeling the functionality of a mixed-signal system, and analyzing its signal integrity (SI) at a high-level of abstraction with SystemC-AMS. Our model includes on a unique platform a functional module and a non-functional module. The functional module represents the operative behavior of the system and the nonfunctional module, based on neural network techniques, displays the SI characteristics of the system. The proposed method is demonstrated by modeling field bus communication system with two nodes. We achieved an error of about 3% for the neural network based Time Data Flow (TDF) model with respect to a RLC Electrical Linear Networks (ELN) model. IndexTerms -High-level modeling, signal integrity, field bus, SystemC-AMS.

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“…We achieved an error of about 3% for the neural network based TDF model with respect to the RLC ELN model of [8]. This validates the performances of our method.…”

Section: Discussionsupporting

confidence: 77%

“…These results are validated by comparing them to the simulation of the same system with Alassir's method [8].…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: A Functional Modulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High level modeling of signal integrity in field bus communication with SystemC-AMS

Wang

Denoulet

Vallette

et al. 2012

2012 19th IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2012)

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“…In [17] and [18], we introduced a meet-in-the-middle modeling approach [19] to evaluate the SI characteristics of field bus-based systems at the virtual prototyping step. This methodology combines high-level SystemC [20] functional models of the nodes, with circuit-level SystemC-AMS [21] models of the Input/Output (I/O) and the bus lines.…”

mentioning

confidence: 99%

High-Level Virtual Prototyping of Signal Integrity in Bus Communication

Wang

Denoulet

Vallette

et al. 2016

IEEE Trans. Compon., Packag. Manufact. Technol.

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In this paper, a novel methodology for highlevel modeling of bus communication in embedded systems is introduced. It allows the dynamic evaluation of their signal integrity (SI) characteristics at the virtual prototyping step (i.e., before physical realization). The method is based on the association of functional and nonfunctional modules. Functional modules represent the ideal behavior of the system, while nonfunctional modules use neural networks to model SI effects. This approach was implemented in SystemC-AMS, using the timed data flow model of computation. The method is illustrated by a Universal Serial Bus (USB) 3.0 application, where modular and parameterizable models are introduced. The method achieved good accuracy (<5%) while allowing significant simulation speedup (up to 2000 times), compared with SPICE-based reference models. This methodology can be used to perform an early SI analysis in the virtual prototyping of bus communication in the embedded systems.

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