A Multi-Iteration Enhanced 2P-SMA Method for Improved Error Reduction on a WP-SAW Water Temperature and Pressure Sensor

Due to the instability of characteristics materials, fabrication processes and user handling, newly designed fabricated wireless passive surface acoustic wave (WP-SAW) sensor nodes have inconsistent sensing performance. Furthermore, ambient environmental interferences aggravate inconsistences under complex working conditions. In this paper, a multi-iteration enhanced two-point simple moving average (MI-2P-SMA) method is proposed for error reduction WP-SAW reflective delay line water temperature pressure sensor. This improved from traditional 2P-SMA better performance on reduction. The results show: MI-2P-SMA does not change original experimental data; it can reduce relative errors has than method; reduces number data points extent dependent iteration time.