Uncovering signals from measurement noise by electro mechanical amplitude modulation

We present an electromechanical parametric scheme to improve the low-frequency signal-to-noise ratio of energy buffering type transducers. The method is based on periodic modulation of the stiffness in the sensory system which produces upconverted replicas of the signals of interest at frequencies w...

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Main Authors: H Droogendijk, R G P Sanders, G J M Krijnen
Format: Article
Language:English
Published: IOP Publishing 2013-01-01
Series:New Journal of Physics
Online Access:https://doi.org/10.1088/1367-2630/15/5/053029
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author H Droogendijk
R G P Sanders
G J M Krijnen
author_facet H Droogendijk
R G P Sanders
G J M Krijnen
author_sort H Droogendijk
collection DOAJ
description We present an electromechanical parametric scheme to improve the low-frequency signal-to-noise ratio of energy buffering type transducers. The method is based on periodic modulation of the stiffness in the sensory system which produces upconverted replicas of the signals of interest at frequencies where measurement is less troubled by noise or other detrimental effects. We demonstrate this principle by means of capacitive biomimetic hair flow sensors, where we modulate the rotational spring stiffness by periodic electrostatic spring softening, such that a replica of the original signal is formed around the modulation frequency. Using this replica we gain up to a 25-fold improvement of the low-frequency signal-to-noise ratio and sensing threshold. For transient measurements we demonstrate that tiny signals, which are below the noise-levels in the base-band, are revealed well when upconverted to higher frequencies.
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spelling doaj.art-7104f296b22e471f809df01d6c6a79b62023-08-08T11:08:44ZengIOP PublishingNew Journal of Physics1367-26302013-01-0115505302910.1088/1367-2630/15/5/053029Uncovering signals from measurement noise by electro mechanical amplitude modulationH Droogendijk0R G P Sanders1G J M Krijnen2MESA+ Institute for Nanotechnology, University of Twente , Enschede, The NetherlandsMESA+ Institute for Nanotechnology, University of Twente , Enschede, The NetherlandsMESA+ Institute for Nanotechnology, University of Twente , Enschede, The NetherlandsWe present an electromechanical parametric scheme to improve the low-frequency signal-to-noise ratio of energy buffering type transducers. The method is based on periodic modulation of the stiffness in the sensory system which produces upconverted replicas of the signals of interest at frequencies where measurement is less troubled by noise or other detrimental effects. We demonstrate this principle by means of capacitive biomimetic hair flow sensors, where we modulate the rotational spring stiffness by periodic electrostatic spring softening, such that a replica of the original signal is formed around the modulation frequency. Using this replica we gain up to a 25-fold improvement of the low-frequency signal-to-noise ratio and sensing threshold. For transient measurements we demonstrate that tiny signals, which are below the noise-levels in the base-band, are revealed well when upconverted to higher frequencies.https://doi.org/10.1088/1367-2630/15/5/053029
spellingShingle H Droogendijk
R G P Sanders
G J M Krijnen
Uncovering signals from measurement noise by electro mechanical amplitude modulation
New Journal of Physics
title Uncovering signals from measurement noise by electro mechanical amplitude modulation
title_full Uncovering signals from measurement noise by electro mechanical amplitude modulation
title_fullStr Uncovering signals from measurement noise by electro mechanical amplitude modulation
title_full_unstemmed Uncovering signals from measurement noise by electro mechanical amplitude modulation
title_short Uncovering signals from measurement noise by electro mechanical amplitude modulation
title_sort uncovering signals from measurement noise by electro mechanical amplitude modulation
url https://doi.org/10.1088/1367-2630/15/5/053029
work_keys_str_mv AT hdroogendijk uncoveringsignalsfrommeasurementnoisebyelectromechanicalamplitudemodulation
AT rgpsanders uncoveringsignalsfrommeasurementnoisebyelectromechanicalamplitudemodulation
AT gjmkrijnen uncoveringsignalsfrommeasurementnoisebyelectromechanicalamplitudemodulation