DocumentCode :
1850774
Title :
Enhanced transduction methods for electrostatically driven MEMS resonators
Author :
Lin, A.T.-H. ; Lee, J.E.-Y. ; Yan, J. ; Seshia, A.A.
Author_Institution :
Dept. of Eng., Univ. of Cambridge, Cambridge, UK
fYear :
2009
fDate :
21-25 June 2009
Firstpage :
561
Lastpage :
564
Abstract :
Electrically addressed silicon bulk acoustic wave microresonators offer high Q solutions for applications in sensing and signal processing. However, the electrically transduced motional signal is often swamped by parasitic feedthrough in hybrid technologies. With the aim of enhancing the ratio of the motional to feedthrough current at nominal operating voltages, this paper benchmarks a variety of drive and detection principles for electrostatically driven square-extensional mode resonators operating in air and in a foundry MEMS process utilizing 2 mum gaps. A new detection technique, combining second harmonic capacitive actuation and piezoresistive detection, outperforms previously reported methods utilizing voltages as low as plusmn 3 V in air providing a promising solution for low voltage CMOS-MEMS integration.
Keywords :
acoustic resonators; bulk acoustic wave devices; electrostatic devices; micromechanical resonators; detection technique; electrically transduced motional signal; electrostatically driven MEMS resonators; low voltage CMOS-MEMS integration; parasitic feedthrough; piezoresistive detection; second harmonic capacitive actuation; silicon bulk acoustic wave microresonators; transduction methods; Acoustic waves; Foundries; Low voltage; Micromechanical devices; Motion detection; Optical filters; Optical resonators; Piezoresistance; Power harmonic filters; Silicon; BAW resonator; harmonic driving; piezoresistive sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Sensors, Actuators and Microsystems Conference, 2009. TRANSDUCERS 2009. International
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4244-4190-7
Electronic_ISBN :
978-1-4244-4193-8
Type :
conf
DOI :
10.1109/SENSOR.2009.5285386
Filename :
5285386
Link To Document :
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