目的 提出一种可用于储运材料表面应变检测的声表面波（SAW）检测方法，设计一种基于SVD-Rife算法的高精度SAW应变传感器解调方法。方法 利用SVD方法实现对SAW谐振器回波信号去噪，以提高解调精度；基于Rife算法设计一种谱细分估计方法，该方法可减少系统的硬件要求，提高谱估计精度。结果 对设计的解调方法进行了仿真和实验，仿真结果表明估计方差得到改善，最大误差为0.25 kHz。对提出的SAW应变传感器进行了实验，得到的传感器线性度为1.45%，重复性为1.09%，与传统的解调方法相比线性度得到改善。结论 实验结果显示所设计的解调方法可用于储运材料表面应变的检测。

The work aims to propose a surface acoustic wave (SAW) method for surface strain detection of packaging materials and design a demodulation method of SAW strain sensor with high precision based on SVD-Rife algorithm. SVD method was used to denoise the SAW resonator echo signal in order to improve the demodulation accuracy. Based on Rife algorithm, a spectral subdivision estimation method was designed, which could lower the hardware requirements of the system and improve the spectral estimation accuracy. The demodulation method designed was simulated and experimented. The simulation results showed that, the estimated variance was improved and the maximum error was 0.25 kHz. Finally, the proposed SAW strain sensor was tested. The linearity of the sensor was 1.45% and the repeatability was 1.09%. Compared with the traditional demodulation method, the linearity of the sensor was improved. The experimental results show that the demodulation method designed can be used to detect the surface strain of packaging materials.