Accurate QTF Sensing Approach by Means of Narrow Band Spectral Estimation
Joint Authors
Scandurra, Graziella
Giusi, Gino
Ciofi, Carmine
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We propose a new approach for the extraction of the equivalent parameters of quartz tuning forks used as sensors by means of noise measurements.
Noise is used as the test signal for the determination, by means of spectral analysis, of the frequency response of a circuit including the quartz tuning fork whose parameters need to be determined.
A new approach for the analysis of strongly peaked noise spectra was developed in order to allow the correct measurement of the strongly peaked noise spectrum at the output of the system, which is the result of the high-quality factor of any quartz tuning fork-based sensor.
With the approach we propose, the best compromise in terms of accuracy and measurement time can be obtained in a single measurement run.
The performances of the approach we propose are discussed in comparison with those that can be obtained from a swept spectrum approach in the same operating conditions.
American Psychological Association (APA)
Scandurra, Graziella& Giusi, Gino& Ciofi, Carmine. 2020. Accurate QTF Sensing Approach by Means of Narrow Band Spectral Estimation. Journal of Sensors،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190715
Modern Language Association (MLA)
Scandurra, Graziella…[et al.]. Accurate QTF Sensing Approach by Means of Narrow Band Spectral Estimation. Journal of Sensors No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1190715
American Medical Association (AMA)
Scandurra, Graziella& Giusi, Gino& Ciofi, Carmine. Accurate QTF Sensing Approach by Means of Narrow Band Spectral Estimation. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1190715
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190715