Paper
18 February 2008 Understanding and improving longevity in RF MEMS capacitive switches
Chuck Goldsmith, David Forehand, Derek Scarbrough, Zheng Peng, Cris Palego, James Hwang, Jason Clevenger
Author Affiliations +
Abstract
This paper discusses issues relating to the reliability and methods for employing high-cycle life testing in capacitive RF MEMS switches. In order to investigate dielectric charging, transient current spectroscopy is used to characterize and model the ingress and egress of charges within the switch insulating layer providing an efficient, powerful tool to investigate various insulating materials without constructing actual MEMS switches. Additionally, an in-situ monitoring scheme has been developed to observe the dynamic evolution of switch characteristics during life testing. As an alternative to high-cycle life testing, which may require days or weeks of testing, a method for performing accelerated life tests is presented. Various methods for mitigating dielectric charging are presented including: reduced operating voltage, reduced dielectric area, and improved control waveforms. Charging models, accelerated life test results, and high-cycle life test results for state-of-the-art capacitive RF MEMS switches aid in the better understanding of MEMS switch reliability providing direction for improving materials and mechanical designs to increase the operation lifetime of MEMS capacitive switches.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuck Goldsmith, David Forehand, Derek Scarbrough, Zheng Peng, Cris Palego, James Hwang, and Jason Clevenger "Understanding and improving longevity in RF MEMS capacitive switches", Proc. SPIE 6884, Reliability, Packaging, Testing, and Characterization of MEMS/MOEMS VII, 688403 (18 February 2008); https://doi.org/10.1117/12.770586
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CITATIONS
Cited by 27 scholarly publications.
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KEYWORDS
Switches

Dielectrics

Microelectromechanical systems

Reliability

Accelerated life testing

Diagnostics

Signal detection

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