Journal
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
Volume 67, Issue 7, Pages 1377-1391Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TUFFC.2020.2969530
Keywords
Low power; MEMS; micromechanical; oscillator; phase noise; quality factor; resonator; RF MEMS
Categories
Funding
- Defense Advanced Research Projects Agency's (DARPA's) Chip-Scale Spectrum Analyzer Program
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A 61-MHz Pierce oscillator constructed in 0.35-mu m CMOS technology and referenced to a polysilicon surface-micromachined capacitive-gap-transduced wine-glass disk resonator has achieved phase noise marks of - 119 dBc/Hz at 1-kHz offset and -139 dBc/Hz at far-fromcarrier offsets. When divided down to 13 MHz, this corresponds to -132 dBc/Hz at 1-kHz offset from the carrier and - 152 dBc/Hz far-from-carrier, sufficient for mobile phone reference oscillator applications, using a single MEMS resonator, i.e., without the need to array multiple resonators. Key to achieving these marks is a Pierce-based circuit design that harnesses a MEMS-enabled input-to-output shunt capacitance more than 100x smaller than exhibited by macroscopic quartz crystals to enable enough negative resistance to instigate and sustain oscillation while consuming only 78 mu W of power-a reduction of similar to 4.5x over previous work. Increasing the bias voltage of the resonator by 1.25 V further reduces power consumption to 43 mu W at the cost of only a few decibels in far-from-carrier phase noise. This oscillator achieves a 1-kHz-offset figure of merit (FOM) of -231 dB, which is now the best among published chip-scale oscillators to date. A complete linear circuit analysis quantifies the influence of resonator input-to-output shunt capacitance on power consumption and predicts further reductions in power consumption via reduction of electrode-to-resonator transducer gaps and bond pad sizes. The demonstrated phase noise and power consumption posted by this tiny MEMS-based oscillator are attractive as potential enablers for low-power set-and-forget autonomous sensor networks and embedded radios.
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