An efficient modeling approach for wavelet transform processors using surface acoustic wave devices

Abstract

Wavelet transform processors (WTPs) using surface acoustic wave (SAW) devices provide an effective solution to utilize wavelet transform technology in practical applications. This work proposes a novel model of wavelet transform processors for predicting their performance characteristics, which might be utilized for single-electrode type and double-electrode type interdigital transducers, as there is currently no universal, quick, and accurate simulation technology for WTPs (IDTs). The admittance matrix, transfer function, and insertion loss for both
IDTs and WTPs in conjunction with a two-port electrical network are all evaluated by the model.
Furthermore, some WTPs samples with a piezoelectric substrate of ST-X quartz and IDTs of Al thin film were fabricated to validate the accuracy of the simulation, with a center frequency and a scale of 60 MHz and 0.215, respectively. A comparison of the simulated and measured results found that the relative error of the frequency is only 0.67%, the maximum relative error of the bandwidth is 5.79% and the relative error of the insertion loss is only 1.24%. The experimental results show that the model is extremely accurate in effective frequency band, and its application will accelerate the design and production of WTPs, promoting the use of WTPs in signal processing systems.

Grooving and Absorption on Substrates to Reduce the Bulk Acoustic Wave for Surface Acoustic Wave Micro-Force Sensors

“…Three kinds of SAW micro-force sensors were fabricated on ST-X quartz substrate: the SAW micro-force sensor without acoustic absorbers, the SAW micro-force sensor with acoustic absorbers, and the SAW micro-force sensor both with acoustic absorbers and grooved piezoelectric substrate. In addition, the electrode material of the IDTs was aluminum [36], and the electrode-overlap envelope of the input IDT was weighted according to the Hamming function [37][38][39].…”