Cargando…
Software Defined Radio-Based Wireless Sensing System
In this paper, we investigate the application of using software-defined radio (SDR) and surface acoustic wave (SAW) device for wireless measurement of the response of in situ sensors. SDR uses software to realize different communication functions. After collecting the magnitude and phase of the resp...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459827/ https://www.ncbi.nlm.nih.gov/pubmed/36080914 http://dx.doi.org/10.3390/s22176455 |
_version_ | 1784786602001694720 |
---|---|
author | Xu, Yihan Amineh, Reza K. Dong, Ziqian Li, Fang Kirton, Kayla Kohler, Michael |
author_facet | Xu, Yihan Amineh, Reza K. Dong, Ziqian Li, Fang Kirton, Kayla Kohler, Michael |
author_sort | Xu, Yihan |
collection | PubMed |
description | In this paper, we investigate the application of using software-defined radio (SDR) and surface acoustic wave (SAW) device for wireless measurement of the response of in situ sensors. SDR uses software to realize different communication functions. After collecting the magnitude and phase of the response at discrete frequencies, we apply inverse Fourier transform to analyze the time domain responses which, in turn, allows for monitoring the changes of the response of the in situ sensor. We employ microwave signal flow graph concepts to improve the quality of the received signals. Comparing the normalized results obtained by SDR with those obtained from a commercial vector network analyzer (VNA), we demonstrate that the results are sufficiently close, and the SDR-based experiments can provide satisfactory measurement of the in-situ sensors. The objective is to eventually employ this wireless measurement system for soil nutrient sensing. |
format | Online Article Text |
id | pubmed-9459827 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94598272022-09-10 Software Defined Radio-Based Wireless Sensing System Xu, Yihan Amineh, Reza K. Dong, Ziqian Li, Fang Kirton, Kayla Kohler, Michael Sensors (Basel) Article In this paper, we investigate the application of using software-defined radio (SDR) and surface acoustic wave (SAW) device for wireless measurement of the response of in situ sensors. SDR uses software to realize different communication functions. After collecting the magnitude and phase of the response at discrete frequencies, we apply inverse Fourier transform to analyze the time domain responses which, in turn, allows for monitoring the changes of the response of the in situ sensor. We employ microwave signal flow graph concepts to improve the quality of the received signals. Comparing the normalized results obtained by SDR with those obtained from a commercial vector network analyzer (VNA), we demonstrate that the results are sufficiently close, and the SDR-based experiments can provide satisfactory measurement of the in-situ sensors. The objective is to eventually employ this wireless measurement system for soil nutrient sensing. MDPI 2022-08-26 /pmc/articles/PMC9459827/ /pubmed/36080914 http://dx.doi.org/10.3390/s22176455 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Yihan Amineh, Reza K. Dong, Ziqian Li, Fang Kirton, Kayla Kohler, Michael Software Defined Radio-Based Wireless Sensing System |
title | Software Defined Radio-Based Wireless Sensing System |
title_full | Software Defined Radio-Based Wireless Sensing System |
title_fullStr | Software Defined Radio-Based Wireless Sensing System |
title_full_unstemmed | Software Defined Radio-Based Wireless Sensing System |
title_short | Software Defined Radio-Based Wireless Sensing System |
title_sort | software defined radio-based wireless sensing system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459827/ https://www.ncbi.nlm.nih.gov/pubmed/36080914 http://dx.doi.org/10.3390/s22176455 |
work_keys_str_mv | AT xuyihan softwaredefinedradiobasedwirelesssensingsystem AT aminehrezak softwaredefinedradiobasedwirelesssensingsystem AT dongziqian softwaredefinedradiobasedwirelesssensingsystem AT lifang softwaredefinedradiobasedwirelesssensingsystem AT kirtonkayla softwaredefinedradiobasedwirelesssensingsystem AT kohlermichael softwaredefinedradiobasedwirelesssensingsystem |