Azzeddine Oudjehane, SAIT Polytechnic, Canada

Sensor technologies are undergoing a period of rapid evolution, driven by the increasing demand for efficient and reliable methods of measurement in various fields. Among these advancements, wireless measurement systems that utilize passive surface acoustic wave (SAW) sensors have emerged as a prominent solution, finding applications in areas such as environmental monitoring, industrial automation, and medical diagnostics. These sensors are particularly valued for their ability to operate without batteries, thereby enhancing their portability and reducing maintenance needs. To effectively design and validate these battery-less wireless sensors, it is crucial to perform a thorough analysis of their frequency characteristics. Traditionally, this is achieved using oscilloscopes, which are devices that measure and display voltage signals over time. While oscilloscopes are useful tools for observing simple waveforms, they have inherent limitations. Specifically, they may not capture the full complexity of the waveforms generated by SAW sensors, leading to potential oversights in the sensor performance analysis. To overcome these constraints, we have developed a cutting-edge SAW system analyzer along with an accompanying SAW reader emulator. This new system is specifically engineered to emulate radio frequency (RF) signals with greater sophistication. By incorporating advanced algorithms and a robust user interface, our SAW analyzer provides detailed insights into the frequency responses of the sensors, allowing researchers and engineers to evaluate performance metrics more accurately. Through a series of experimental validations, we demonstrate that our innovative approach not only surpasses the traditional oscilloscope method in terms of accuracy and depth of analysis but also enhances the overall performance of wireless measurement systems. This advancement opens up new possibilities for improving sensor functionality and reliability in diverse applications, ultimately contributing to more effective decision-making and problem-solving across various industries.

APA:
Oudjehane, A. (2021). A Comprehensive Analysis of RF Signal Generators and Analyzers for Optimizing Passive Surface Acoustic Wave-based Wireless Sensors. Journal of Science and Engineering Management, 2(2), 1-10. https://doi.org/10.33832/jsem.2021.2.2.01