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Journal Articles Microsystem Technologies Year : 2022

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

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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Dates and versions

lirmm-01919558 , version 1 (12-11-2018)

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Josué Manuel Rivera Velázquez, Frédérick Mailly, Pascal Nouet. System-level simulations of multi-sensor systems and data fusion algorithms. Microsystem Technologies, 2022, 28, pp.1399-1408. ⟨10.1007/s00542-018-4204-8⟩. ⟨lirmm-01919558⟩
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