bei Google ScholarTitelangaben
Hagelauer, Amelie ; Bader, Bernhard ; Henn, G. ; Schäufele, A. ; Marksteiner, S. ; Wagner, Karl C. ; Weigel, Robert:
Low-Loss BAW Filters on High Resistivity Silicon for Mobile Radio.
In:
2009 IEEE MTT-S International Microwave Symposium Digest. -
Piscataway, NJ
: IEEE
,
2009
. - S. 337-340
ISBN 978-1-4244-2803-8
DOI: https://doi.org/10.1109/MWSYM.2009.5165702
Abstract
Integration of bulk acoustic wave (BAW) filters into W-CDMA mobile communication applications is of high interest, as the BAW technology allows for low-loss and high Q signal forming in these 2 GHz devices. During the design phase of low- loss BAW filters it is very important that we not only control the most major loss mechanisms, like metal conductivity and viscosity of piezo material. We also have to focus the less well known losses. In this paper, we describe an interface loss effect which appears between the Si substrate and the first SiO2 layer of the BAW structure. Its influence on the filter characteristics of our 2 GHz filter is shown. This loss effect is caused by channel currents, which are induced by static charges (similar in FET transistors). For investigating the loss and its impact on the filter performance, we designed test structures and filters, performed and analyzed measurements, and adapted the loss model in our filter simulations accordingly.
Weitere Angaben
| Publikationsform: | Aufsatz in einem Buch |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren > Lehrstuhl Kommunikationselektronik - Univ.-Prof. Dr.-Ing. Amélie Marietta Hagelauer Fakultäten Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Kommunikationselektronik Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 30 Sep 2019 11:25 |
| Letzte Änderung: | 10 Aug 2022 12:57 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/52402 |