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.