Water Pressure Monitoring Using a Temperature-Compensated WP-SAW Pressure Sensor

This paper presents a method on improving water pressure monitoring using wireless passive surface acoustic wave (WP-SAW) sensor. An experimental framework acting as water pipe simulator is built. Signal processing methods such as down-conversion, quadrature sampling, average, and multi-iterative two-point simple moving average (MI-2P-SMA) are utilized for improving sensing accuracy. The results show the relative errors of temperature at all testing points are less than 1% and the relative errors of pressure at all testing points are less than 2%.