Department of Electrical and Computer Engineering, New York Institute of Technology, New York, NY 10023, USA.
Department of Mechanical Engineering, New York Institute of Technology, Old Westbury, NY 10023, USA.
Sensors (Basel). 2022 Aug 26;22(17):6455. doi: 10.3390/s22176455.
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.
本文研究了软件定义无线电(SDR)和表面声波(SAW)设备在原位传感器响应无线测量中的应用。SDR 使用软件来实现不同的通信功能。在离散频率下采集响应的幅度和相位后,我们应用傅里叶逆变换来分析时域响应,从而监测原位传感器响应的变化。我们采用微波信号流图的概念来提高接收信号的质量。通过比较 SDR 获得的归一化结果与商业矢量网络分析仪(VNA)获得的结果,我们证明了结果足够接近,并且基于 SDR 的实验可以对原位传感器进行令人满意的测量。最终目标是将此无线测量系统用于土壤养分感测。