2022
DOI: 10.1109/jmems.2022.3189202
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Temperature Compensated Bulk-Mode Capacitive MEMS Resonators With ±16 ppm Temperature Stability Over Industrial Temperature Ranges

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Cited by 14 publications
(6 citation statements)
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“…The experimental result shows that correctly positioned stretched mode resonators on highly n-doped silicon substrates have a TCF zero point, and that the total frequency variation of highly phosphorus-doped resonators aligned to <100> crystal orientations can reach less than 245 ppm over the −40 • C to 85 • C range. A 10 MHz highly doped capacitive MEMS resonator was reported by [101], and the frequency turnover point was changed by adjusting the crystal orientation. Results show less than ±16 ppm frequency jitter from −40 • C to 85 • C when the resonator is positioned 22.5 • in the <110> direction.…”
Section: Passive Compensationmentioning
confidence: 99%
“…The experimental result shows that correctly positioned stretched mode resonators on highly n-doped silicon substrates have a TCF zero point, and that the total frequency variation of highly phosphorus-doped resonators aligned to <100> crystal orientations can reach less than 245 ppm over the −40 • C to 85 • C range. A 10 MHz highly doped capacitive MEMS resonator was reported by [101], and the frequency turnover point was changed by adjusting the crystal orientation. Results show less than ±16 ppm frequency jitter from −40 • C to 85 • C when the resonator is positioned 22.5 • in the <110> direction.…”
Section: Passive Compensationmentioning
confidence: 99%
“…Clark et al improved oscillator noise performance by using a material passive temperature compensation mechanism with a silicon dioxide buried layer [15]. Han et al used a combined approach of degenerated doping and crystal orientation adjustment to enhance the temperature stability of resonators [16]. Although the micro-oven compensation method is precise and stable, it requires high power consumption, while passive compensation methods lead to complex machining process.…”
Section: Introductionmentioning
confidence: 99%
“…Its sensitivity to both randomness and periodicity in signals makes it well suited for analyzing complex, nonlinear systems. In recent years, many scholars have integrated such sequence entropy algorithms with other compensation methods to analyze nonstationary signals [24][25][26]. This reflects the growing trend of leveraging their capabilities in signal processing applications.…”
Section: Introductionmentioning
confidence: 99%