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High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks.

Javier Alejandro Martínez-Nieto¹, Nicolás Medrano-Marqués², María Teresa Sanz-Pascual³

¹Electronics Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Puebla 72840, Mexico. almartinez@unizar.es.

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|April 19, 2019

Summary

This study presents a time-efficient Matlab tool for simulating artificial neural networks in microelectronic integrated circuits. The tool ensures reliable behavioral models for sensor calibration, improving design processes.

Keywords:

Artificial Neural Networks CMOS ASICs circuit simulation embedded systems high-level modeling

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Area of Science:

Microelectronic Engineering
Computational Neuroscience
Integrated Circuit Design

Background:

Current microelectronic integrated system design relies on complex simulations that are time-consuming and may compromise result reliability.
Increasing circuit complexity exacerbates simulation challenges, impacting design timelines and accuracy.

Purpose of the Study:

To introduce a high-level simulation tool for artificial neural networks (ANNs) in mixed analog-digital CMOS processes.
To provide a reliable, time-efficient solution for behavioral modeling of microelectronic integrated circuits for sensor calibration.

Main Methods:

Development of a simulation tool using Matlab for ANNs.
Implementation of adaptable neural model architectures within the tool.
Behavioral modeling of microelectronic integrated circuits for sensor calibration.

Main Results:

The tool enables accurate prediction of microelectronic IC system behavior under various operating conditions.
Demonstrated adaptability of neural model architecture to specific electronic system characteristics.
Achieved a simple, time-efficient, and reliable simulation solution.

Conclusions:

The proposed Matlab-based tool offers a significant improvement for simulating ANNs in microelectronic systems.
Accurate behavioral models can be generated prior to physical implementation, enhancing design reliability and efficiency.
The tool is particularly beneficial for sensor calibration applications in mixed-signal integrated circuits.