System-level simulations of multi-sensor systems and data fusion algorithms

System-level simulations of sensors are valuables for optimizing device and system parameters and validating data-processing algorithms. Nowadays, the tendency of multi-sensor systems has increased the necessity of this type of simulations. In this work, a generic model for simulations of a sensor a...

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Bibliographic Details
Published inMicrosystem technologies : sensors, actuators, systems integration Vol. 28; no. 6; pp. 1399 - 1408
Main Authors Rivera Velázquez, Josué Manuel, Mailly, Frédérick, Nouet, Pascal
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2022
Springer Verlag
Subjects
Electronics and Microelectronics
Engineering
Engineering Sciences
Instrumentation
Mechanical Engineering
Micro and nanotechnologies
Microelectronics
Nanotechnology
Technical Paper
Online AccessGet full text
ISSN0946-7076
1432-1858
DOI10.1007/s00542-018-4204-8

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Summary:System-level simulations of sensors are valuables for optimizing device and system parameters and validating data-processing algorithms. Nowadays, the tendency of multi-sensor systems has increased the necessity of this type of simulations. In this work, a generic model for simulations of a sensor at system level is proposed. It allows implementing the complete behavior of a sensor including uncertainties and tolerances, nonlinearities, various noises and so on. This sensor model can be customized by extracting information from a datasheet, a power spectral density graph or an Allan deviation graph. Then, simulations of a single sensor or multi-sensor systems can be performed and data fusion algorithms can be tested for different applications.
ISSN:0946-7076
1432-1858
DOI:10.1007/s00542-018-4204-8