학술논문

A Nonlinear Model for Nano-Electro Mechanical Mass Sensing Signals Processing
Document Type
Periodical
Source
IEEE Sensors Journal IEEE Sensors J. Sensors Journal, IEEE. 21(19):21852-21861 Oct, 2021
Subject
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Robotics and Control Systems
Nanoelectromechanical systems
Resonant frequency
Mathematical model
Frequency measurement
Noise reduction
Gaussian noise
Time-frequency analysis
Automatic parameters selection
colored noise
mass measurement
mass-resolution increase
nanomechanical sensor (NEMS)
nonlinear coupling
resonance frequency denoising
total variation algorithm
Language
ISSN
1530-437X
1558-1748
2379-9153
Abstract
Due to their physical properties, nanomechanical sensors (NEMS) can achieve mass measurements in the mega- to gigadalton range, which is hardly obtained with conventional mass-spectrometers. However, NEMS signals are subject to noise, causing a loss of mass resolution and thus emphasizing the need of noise control. We propose a denoising model that relies on a total variation formulation, which deals with different noise models (particularly colored noise) affecting NEMS. The model also takes into account the physics of NEMS, such as the non-linear coupling between signals of individual NEMS. The performance of the proposed model is tested on simulated data which parameters are chosen similar to true experimental conditions. The obtained results confirm the interest of our model with a mass-resolution increase over 20% compared to methods used in literature.