In this paper, we address the problem of nonlinear sensor dynamic compensation that will be performed on board wireless sensor network nodes. To this aim, we design suitable reduced-complexity learning-from-example algorithms and implement them on resource-constrained devices, namely, 8-bit microcontrollers. The proposed approach is validated with simulations on different examples of nonlinear sensor models. © 2008 IEEE.
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach
Marconato, Anna;Hu, Mingqing;Boni, Andrea;Petri, Dario
2008-01-01
Abstract
In this paper, we address the problem of nonlinear sensor dynamic compensation that will be performed on board wireless sensor network nodes. To this aim, we design suitable reduced-complexity learning-from-example algorithms and implement them on resource-constrained devices, namely, 8-bit microcontrollers. The proposed approach is validated with simulations on different examples of nonlinear sensor models. © 2008 IEEE.File in questo prodotto:
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