Related Experiment Video
Updated: Jul 7, 2026

15:25
Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
Modeling, simulation, and design of SAW grating filters
O Schwelb1, E L Adler, J K Slaboszewicz
1Concordia Eng., Montreal, Que.
Summary
This study presents a systematic method for designing surface acoustic wave (SAW) grating filters, incorporating losses. The approach uses cascadable transmission-matrix building blocks for accurate modeling and simulation of SAW devices.
Area of Science:
- Electrical Engineering
- Acoustics
- Materials Science
Background:
- Surface Acoustic Wave (SAW) devices are crucial for signal processing.
- Accurate modeling of SAW grating filters, including losses, is essential for performance.
- Existing design methods may not fully capture the complexities of SAW components.
Purpose of the Study:
- To describe a systematic procedure for modeling, simulating, and designing SAW grating filters.
- To incorporate signal losses into the design and analysis of SAW devices.
- To develop a modular approach for analyzing complex SAW filter architectures.
Main Methods:
- Utilized cascadable transmission-matrix building blocks to define grating structures and interdigital transducers (IDTs).
- Employed chain-matrix multiplication to determine immittance characteristics of complex SAW filter architectures.
- Developed a multipole filter design procedure based on lumped-element models for resonator building blocks.
Main Results:
- A modular approach combining lossy filter synthesis with transmission-matrix descriptions for SAW components was established.
- The range of validity for the lumped-element model approximation was examined.
- Software for simulating SAW grating devices was developed and demonstrated with a resonator filter design example.
Conclusions:
- The described matrix approach provides a systematic and modular method for designing SAW grating filters.
- The developed software, integrated into a CAD/CAA package, facilitates efficient analysis and design of SAW filters.
- This methodology enables accurate performance prediction and design optimization for SAW devices, considering signal losses.

