Surface acoustic wave (SAW) sensing systems based on the received signal strength indication (RSSI) detection principle have recently gained considerable research attention because of their distinct advantages and disadvantages. However, the test mode requires constant sweeping, which severely limits the system’s dynamic response; to overcome this limitation, an effective solution is to establish a suitable eigenvalue search strategy to replace naive sweeping. To this end, a basis for this process is established in this study. Furthermore, the mechanism of the SAW sensing system based on RSSI detection is analyzed, a system model is established by introducing sequence signal superposition, and the model’s validity is verified via experiments. Signal variations at each stage and model errors are analyzed, and the system’s timing parameters are optimized. Finally, using the SAW torque sensor, an optimized torque measurement prototype is designed and the system’s effectiveness is verified through static torque experiments. A complete model of the measurement system can be simulated through this model; it provides the basis for an eigenvalue search strategy and can act as a simulation model or design basis for other researchers building RSSI-detection-based SAW sensing systems.

基于接收信号强度指示 (RSSI) 检测原理的表面声波 (SAW) 传感系统由于其明显的优点和缺点，最近获得了相当多的研究关注。但测试模式需要不断扫频，严重限制了系统的动态响应；为了克服这个限制，一个有效的解决方案是建立一个合适的特征值搜索策略来代替朴素扫描。为此，本研究为这一过程奠定了基础。进一步分析了基于RSSI检测的声表面波传感系统的机理，通过引入序列信号叠加建立了系统模型，并通过实验验证了模型的有效性。分析每个阶段的信号变化和模型误差，并对系统的时序参数进行了优化。最后，利用SAW扭矩传感器，设计了优化的扭矩测量样机，并通过静态扭矩实验验证了系统的有效性。通过这个模型可以模拟一个完整的测量系统模型；它为特征值搜索策略提供了基础，并可作为其他研究人员构建基于 RSSI 检测的 SAW 传感系统的仿真模型或设计基础。