中文摘要：

声表面波温度传感器由于其纯无源、长寿命等特性受到越来越广泛的关注和应用。制作好的声表面波温度传感器需进行精确而有效的标定,以保证传感器的准确性。由于传感器回波频率方差受无线信噪比的影响,用尽可能少的温度点来获得传感器回波频率和测量温度映射关系的方法是很重要的。该文利用蒙特卡洛仿真法,结合回波信号频率统计分布特征,讨论了标定点位置与个数和标定精度之间的关系,实现了传感器满量程测温精度优于1%。此外,还提出＂一点校准＂法来消除传感器在实际装配后由于位置变化而产生的影响,避免了设计差动结构的传感器。

英文摘要：

Due to its passive and long-life characteristic,surface acoustic wave（SAW）temperature sensor has been widely concerned and applied.In order to ensure the accuracy of the SAW temperature sensor,the precise and effective calibration should be implemented.Because wireless signal-to-noise ratio has an impact on the echo frequency variance,it is important to acquire the accurate functional relationship between the resonating frequency and temperature using the minimal temperature point.In this paper,based on frequency statistical characteristics of the echo signal,the relationship between the calibration accuracy and the number and position of temperature point is discussed by using Monte-Carlo simulation;the measurement accuracy of 1% within the full scale of sensor is realized.Otherwise,a＂one-point calibration＂method is proposed to eliminate the influence of position variation between the sensor reader and the sensor after installation.