A new frequency estimation algorithm for IIoT applications and low-cost instrumentation

Campobello, Giuseppe; Segreto, Antonino; Donato, Nicola

doi:10.1109/i2mtc43012.2020.9128364

Cited by 11 publications

(5 citation statements)

References 17 publications

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“…The UDOO platform [44] was selected as a single-board PC to develop a compact and robust system. This powerful tool can be employed to develop measurement solution for several applications [45][46][47]. The three detectors included in the project, each with their own features, were used to create a complete and compact measurement system for colorimetric sensors.…”

Section: Methodsmentioning

confidence: 99%

Compact System for Colorimetric Sensor Arrays Characterization Based on Computer Screen Photo-Assisted Technology

2021

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The detection of the spectral fingerprint of chemical sensors through the combined use of an LCD and a webcam is an alternative approach for chemical sensor characterization. This technique allows the development of more compact, cheap, and user-friendly measurement systems compared to the more classic instruments, such as spectrometers and gas chromatography systems. In the Computer Screen Photo-assisted Technique (CSPT), a display acts as a light source, and a conventional camera (e.g., a webcam) plays the role of a detector. The light from the LCD is reflected (or transmitted) by the chemical sensor, and the camera detects it. In the present contribution, we propose a compact and low-cost platform based on CSPT for the characterization of colorimetric sensor arrays. The system can provide spectral information of both reflected and transmitted light from the sample. Further, a 2.4-inch LCD and three different detector’s (a webcam, an RGB sensor, and a camera module) performances have been evaluated and discussed. The developed system includes a UDOO-based single board computer that makes it a stand-alone measurement system.

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Section: Methodsmentioning

confidence: 99%

Compact System for Colorimetric Sensor Arrays Characterization Based on Computer Screen Photo-Assisted Technology

2021

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“…In addition, based on discrete wavelet packet transformation [ 21 ], all-phase [ 22 ], decomposition filtering-based dual-window correction algorithms [ 23 ], autocorrelation [ 24 ], and neural network methods [ 25 ], the frequency estimation can be realized. The influence of white noise on frequency estimation has also been analyzed [ 26 , 27 ]. Notably, the COG method is often use for position measurements [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Beat-Notes Acquisition of Laser Heterodyne Interference Signal for Space Gravitational Wave Detection

Wang

Sui

et al. 2023

Sensors

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In space gravitational wave detection missions, the laser heterodyne interference signal (LHI signal) has a high-dynamic characteristic due to the Doppler shift. Therefore, the three beat-notes frequencies of the LHI signal are changeable and unknown. This may further lead to the unlocking of the digital phase-locked loop (DPLL). Traditionally, fast Fourier transform (FFT) has been used as a method for frequency estimation. However, the estimation accuracy cannot meet the requirement of space missions because of the limited spectrum resolution. In order to improve the multi-frequency estimation accuracy, a method based on center of gravity (COG) is proposed. The method improves the estimation accuracy by using the amplitude of the peak points and the neighboring points of the discrete spectrum. For different windows that may be used for signal sampling, a general expression for multi-frequency correction of the windowed signal is derived. Meanwhile, a method based on error integration to reduce the acquisition error is proposed, which solves the problem of acquisition accuracy degradation caused by communication codes. The experimental results show that the multi-frequency acquisition method is able to accurately acquire the three beat-notes of the LHI signal and meet the requirement of space missions.

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“…Any stimulus or perturbation on the device surface (i.e., adsorbed gas molecules and liquids) may affect the propagation of the acoustic wave, thus altering the characteristic resonant frequency. Such variations can be measured with high-accuracy frequency estimation algorithms [ 17 ] and easily related to the physical quantity of interest [ 18 ]. SAW resonators have been successfully employed for temperature and humidity sensing [ 15 , 19 , 20 , 21 ], as pressure sensors [ 16 , 22 , 23 ], biosensors [ 24 ], and for VOC and gas sensing [ 25 , 26 , 27 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

Equivalent Circuit Model Extraction for a SAW Resonator: Below and above Room Temperature

Gugliandolo

Marinković

Crupi

et al. 2022

Sensors

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In this work, a SAW resonator is characterized in terms of admittance (Y-) parameters in the temperature range spanning from 0 °C to 100 °C, with the aim of highlighting how its physical properties are affected by the temperature change. A lumped-element equivalent-circuit model is used to represent the device under test at the considered temperature conditions and a parameters extraction process based on a Lorentzian fitting is developed for the determination of the equivalent-circuit elements in the investigated temperature range. A very good agreement is observed between the performed measurements and the model simulations. The characterization process and the subsequent equivalent-circuit parameters extraction at different temperature values are described and discussed.

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A new frequency estimation algorithm for IIoT applications and low-cost instrumentation

Cited by 11 publications

References 17 publications

Compact System for Colorimetric Sensor Arrays Characterization Based on Computer Screen Photo-Assisted Technology

Compact System for Colorimetric Sensor Arrays Characterization Based on Computer Screen Photo-Assisted Technology

Beat-Notes Acquisition of Laser Heterodyne Interference Signal for Space Gravitational Wave Detection

Equivalent Circuit Model Extraction for a SAW Resonator: Below and above Room Temperature

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