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Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

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Software Defined Radio-Based Wireless Sensing System.

Yihan Xu¹, Reza K Amineh¹, Ziqian Dong¹

¹Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY 10023, USA.

Sensors (Basel, Switzerland)

|September 9, 2022

Summary

This summary is machine-generated.

This study demonstrates wireless measurement of in situ sensors using software-defined radio (SDR) and surface acoustic wave (SAW) devices. SDR technology provides accurate sensor response monitoring, comparable to commercial vector network analyzers (VNAs).

Keywords:

software defined radio soil sensing surface acoustic wave sensor wireless sensing

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Area of Science:

Electrical Engineering
Sensor Technology
Wireless Communication

Background:

In situ sensor monitoring is crucial for various applications.
Traditional wired measurements can be cumbersome and limited.
Wireless solutions offer enhanced flexibility and accessibility.

Purpose of the Study:

To investigate the feasibility of using software-defined radio (SDR) and surface acoustic wave (SAW) devices for wireless in situ sensor measurements.
To develop a wireless measurement system for monitoring in situ sensor responses.
To explore the potential for soil nutrient sensing using this technology.

Main Methods:

Utilized software-defined radio (SDR) for wireless data acquisition.
Employed surface acoustic wave (SAW) devices for sensor interaction.
Applied inverse Fourier transform for time-domain response analysis.
Incorporated microwave signal flow graph concepts to enhance signal quality.
Compared SDR-based measurements with a commercial vector network analyzer (VNA).

Main Results:

SDR and SAW device combination enables effective wireless measurement of in situ sensors.
Time-domain analysis of frequency response provides sensor monitoring capabilities.
Microwave signal flow graph concepts improved received signal quality.
SDR-based measurements showed close correlation with commercial VNA results.
The system demonstrated satisfactory accuracy for in situ sensor measurements.

Conclusions:

Software-defined radio (SDR) offers a viable and accurate platform for wireless in situ sensor measurements.
The developed wireless system shows promise for remote monitoring applications.
Future work will focus on implementing this system for soil nutrient sensing.