Title :
Theoretical Analysis of Wireless Passive Impedance-Loaded SAW Sensors
Author :
Luo, Wei ; Fu, Qiuyun ; Wang, Jianling ; Wang, Yi ; Zhou, Dongxiang
Author_Institution :
Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper concentrates on the theoretical analysis of wireless passive surface acoustic wave (SAW) impedance-loaded sensors. A general method is proposed for simulating the impedance-loaded SAW sensors. It is based on the combined finite-element method and boundary element method (FEM/BEM). A FEM is used to account for the mass loading effect of electrodes and a Green´s function is used to model the piezoelectric substrate. Comparison between the simulations and measurements on SAW devices shows a good agreement. The calculated amplitude variation of the impulse response in time domain shows a resonant characteristic with the change of the loaded impedance. It is found that the return loss reaches the maximum value when the resonant frequency of the loaded circuits matches the center frequency of the short-circuited SAW transponder. This phenomenon is successfully explained by using the proposed model. Some high-performance sensors with greater amplitude modulation and larger sensitive range could be designed using this method.
Keywords :
Green´s function methods; boundary-elements methods; finite element analysis; surface acoustic wave sensors; time-domain analysis; transient response; Green´s function; SAW transponder; boundary element method; finite-element method; impulse response; time domain; wireless passive impedance-loaded SAW sensors; wireless passive surface acoustic wave sensors; Acoustic sensors; Acoustic waves; Boundary element methods; Circuit simulation; Electrodes; Finite element methods; Green´s function methods; Surface acoustic waves; Surface impedance; Wireless sensor networks; Boundary element methods; finite-element methods; intelligent sensor; surface acoustic wave devices;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2029812