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High‐accuracy modeling method for transmission line on surface acoustic wave substrates
Author(s) -
Yamada Toru,
Uriu Kazuhide,
Jibu Toru,
Seo Koji,
Hashimoto KenYa,
Yamaguchi Masatsune
Publication year - 2009
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10230
Subject(s) - resonator , transmission line , surface acoustic wave , electric power transmission , embedding , filter (signal processing) , acoustics , transmission (telecommunications) , equivalent circuit , line (geometry) , electronic engineering , calibration , electronic filter , engineering , electrical engineering , computer science , voltage , physics , mathematics , geometry , quantum mechanics , artificial intelligence
A high‐accuracy modeling methodology for electrical characteristics of transmission electrodes on SAW substrates is established. In order to design SAW filter accurately, it is necessary to extract precise SAW material parameters from the measurement value of the reference SAW resonator. When measuring the SAW resonator, transmission lines are needed for feeding to contact probes. De‐embedding procedure, which removes the influence of transmission lines, is very important for accurate characterization of the SAW resonator. In this paper, we apply the improved de‐embedding procedure using Short, Open, and Thru calibration patterns. The de‐embedded transmission line is separated in four parts and extracted the RLGC equivalent circuit model for each part. Furthermore, we derive the frequency characteristic of resistance element of the transmission line. Finally, de‐embedding the transmission line accurately, we can get intrinsic characteristic of the SAW resonator. This method must be very useful to extract SAW material parameters and we can design SAW filters more effectively. © 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 92(2): 49–55, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecj.10230