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Akstaller, Wolfgang ; Tag, Andreas ; Musolff, Christian ; Weigel, Robert ; Hagelauer, Amelie:
Measurement Setup for X-Parameter Characterization of Bulk Acoustic Wave Resonators.
In:
2015 85th Microwave Measurement Conference (ARFTG). -
Piscataway, NJ
: IEEE
,
2015
ISBN 978-1-4799-8887-7
DOI: https://doi.org/10.1109/ARFTG.2015.7162919
Abstract
In this work a modern measurement method has been utilized in order to characterize nonlinear behavior of bulk acoustic wave (BAW) solidly mounted resonators (SMR). Unlike typical nonlinearity characterization methods, the method which was employed here not only records amplitudes, but also the phase of generated harmonics. Furthermore, the relations between the harmonics of different order are given. The modeling approach being used is the poly harmonic distortion (PHD) modeling approach, realized by the measurement of X-Parameters. For that purpose it was necessary to extend a nonlinear vector network analyzer (NVNA) by external components in order to enable high power measurements. Afterwards, several optimization steps were required to perform phase calibration. This difficulty arose due to the high power incident tones and steep resonator impedance curves on the one hand and the limited power provided by the phase calibration standard on the other hand.
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 > 620 Ingenieurwissenschaften |
| Eingestellt am: | 30 Sep 2019 13:26 |
| Letzte Änderung: | 17 Okt 2022 09:26 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/52417 |