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

Josué Manuel Rivera Velázquez 1 Frédérick Mailly 1 Pascal Nouet 1 
1 SmartIES - Smart Integrated Electronic Systems
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : 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.
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Contributor : Pascal Nouet Connect in order to contact the contributor
Submitted on : Monday, November 12, 2018 - 3:25:16 PM
Last modification on : Friday, August 5, 2022 - 3:02:16 PM



Josué Manuel Rivera Velázquez, Frédérick Mailly, Pascal Nouet. System-level simulations of multi-sensor systems and data fusion algorithms. Microsystem Technologies, Springer Verlag, 2018, ⟨10.1007/s00542-018-4204-8⟩. ⟨lirmm-01919558⟩



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