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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/17/6455 |
| _version_ | 1797493201952571392 |
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| author | Yihan Xu Reza K. Amineh Ziqian Dong Fang Li Kayla Kirton Michael Kohler |
| author_facet | Yihan Xu Reza K. Amineh Ziqian Dong Fang Li Kayla Kirton Michael Kohler |
| author_sort | Yihan Xu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T01:16:37Z |
| format | Article |
| id | doaj.art-ecab019a414d44738b248a6c29287c47 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:16:37Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ecab019a414d44738b248a6c29287c472023-11-23T14:08:48ZengMDPI AGSensors1424-82202022-08-012217645510.3390/s22176455Software Defined Radio-Based Wireless Sensing SystemYihan Xu0Reza K. Amineh1Ziqian Dong2Fang Li3Kayla Kirton4Michael Kohler5Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY 10023, USADepartment of Electrical and Computer Engineering, New York Institute of Technology, New York, NY 10023, USADepartment of Electrical and Computer Engineering, New York Institute of Technology, New York, NY 10023, USADepartment of Mechanical Engineering, New York Institute of Technology, Old Westbury, NY 10023, USADepartment of Mechanical Engineering, New York Institute of Technology, Old Westbury, NY 10023, USADepartment of Mechanical Engineering, New York Institute of Technology, Old Westbury, NY 10023, USAIn 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.https://www.mdpi.com/1424-8220/22/17/6455software defined radiosoil sensingsurface acoustic wave sensorwireless sensing |
| spellingShingle | Yihan Xu Reza K. Amineh Ziqian Dong Fang Li Kayla Kirton Michael Kohler Software Defined Radio-Based Wireless Sensing System Sensors software defined radio soil sensing surface acoustic wave sensor wireless sensing |
| 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 | software defined radio soil sensing surface acoustic wave sensor wireless sensing |
| url | https://www.mdpi.com/1424-8220/22/17/6455 |
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