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A Two-Channel DFT Spectrum Analyzer for Fluctuation Enhanced Sensing Based on a PC Audio Board
- Source :
- Sensors (Basel, Switzerland), Sensors, Volume 21, Issue 13, Sensors, Vol 21, Iss 4307, p 4307 (2021)
- Publication Year :
- 2021
-
Abstract
- The main requirement for using the Fluctuation Enhanced Sensing technique is the ability to perform low-frequency noise measurements. The portability of the measurement system is also a quite desirable feature not limited to this specific application. In this paper, an approach for the realization of a dual channel spectrum analyzer that is capable of exploring frequencies down to DC, although based on a USB sound card, is proposed. The lower frequency range of the input signals, which is outside the frequency range of the sound board, is upconverted to higher frequencies by means of a very simple modulation board. Then, the entire spectrum is reconstructed numerically by proper elaboration. With the exception of the modulation board, the approach we propose does not rely on any specific hardware. Thanks to the efficiency of the spectra estimation and reconstruction software, which is based on a public domain library, the system can be built on a low-cost computer single board computer, such as the Raspberry PI3. Moreover, when equipped with an optical TCP/IP link, it behaves as a compact spectrum analyzer that along with the device under test can be placed into a shielded environment, thus being isolated from external electromagnetic interferences.
- Subjects :
- Spectrum analyzer
Computer science
sound boards
spectrum analyzer
TP1-1185
USB
01 natural sciences
Biochemistry
Sound card
Article
010305 fluids & plasmas
Analytical Chemistry
law.invention
law
0103 physical sciences
Electronic engineering
low-frequency noise measurements
Electrical and Electronic Engineering
Instrumentation
010302 applied physics
Chemical technology
signals elaboration
Atomic and Molecular Physics, and Optics
Noise
Single-board computer
Modulation
Device under test
Communication channel
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 21
- Issue :
- 13
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....87233cff15c60c12f6fabe72c2804857