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Improved Modeling of Bulk Acoustic Wave Resonators and Filters

Title data

Hagelauer, Amèlie ; Weigel, Robert ; Link, A. ; Bader, Bernhard ; Marksteiner, S. ; Wagner, K.:
Improved Modeling of Bulk Acoustic Wave Resonators and Filters.
In: 2010 IEEE International Ultrasonics Symposium. - Piscataway, NJ : IEEE , 2010 . - pp. 857-860
ISBN 978-1-4577-0382-9
DOI: https://doi.org/10.1109/ULTSYM.2010.5935472

Abstract in another language

Duplexers and filters for mobile radio are one of the classic field of application for the BAW technology. In recent years the size of the devices has been reduced by about a half and the trend is still toward more compact designs with higher performance at the same time. This translates directly to very demanding requirements on the effective coupling coefficient and on the quality factors of the underlying BAW resonators. Measurements show that the size and the shape of the resonators have a significant influence on the overall performance. Hence, size-relevant effects need to be considered in ID-simulation, which is the base for fast filter optimization. To evaluate the influence of the resonator size on the filter performance we analyzed several SMR-BAW resonator area and shape variations in combination with different overlap sizes in a series of experiments. Moreover, the influence of the overlap size on different resonator areas is studied with 2D-FEM simulations. In this paper we present the results of our resonator measurements. The results are basis for developing a modified ID model for designing BAW filters. Additionally, a new method for the extraction of an 'equivalent acoustic impedance' for the description of the acoustics is presented and compared to the modified ID-model.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > >
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 27 Sep 2019 09:41
Last Modified: 27 Sep 2019 09:41
URI: https://eref.uni-bayreuth.de/id/eprint/52397