An Ultra Low-Power Programmable Voltage Reference for Power-Constrained Electronic Systems

Caselli, Michele; Tiurin, Evgenii; Stanzione, Stefano; Boni, Andrea

doi:10.1109/tcsi.2022.3219587

Cited by 9 publications

(1 citation statement)

References 29 publications

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“…a) E-mail: y.itotagawa@ssc.eei.eng.osaka-u.ac.jp b) E-mail: hirose@eei.eng.osaka-u.ac.jp have not been adequately considered. A differential and programmable VR could be useful and advantageous, especially when it must directly interface itself with other differential circuit blocks [15]- [22]. This would lead to a superior noise-immunity and high process-stability for the overall system.…”

Section: Introductionmentioning

confidence: 99%

Programmable Differential Bandgap Reference Circuit for Ultra-Low-Power CMOS LSIs

ITOTAGAWA,

ATSUMI,

SEBE

et al. 2024

IEICE Trans. Electron.

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This paper describes a programmable differential bandgap reference (PD-BGR) for ultra-low-power IoT (Internet-of-Things) edge node devices. The PD-BGR consists of a current generator (CG) and differential voltage generator (DVG). The CG is based on a bandgap reference (BGR) and generates an operating current and a voltage, while the DVG generates another voltage from the current. A differential voltage reference can be obtained by taking the voltage difference from the voltages. The PD-BGR can produce a programmable differential output voltage by changing the multipliers of MOSFETs in a differential pair and resistance with digital codes. Simulation results showed that the proposed PD-BGR can generate 25-to 200-mV reference voltages with a 25-mV step within a ±0.7% temperature inaccuracy in a temperature range from -20 to 100 • C. A Monte Carlo simulation showed that the coefficient of the variation in the reference was within 1.1%. Measurement results demonstrated that our prototype chips can generate stable programmable differential output voltages, almost the same results as those of the simulation. The average power consumption was only 88.4 nW, with a voltage error of −4/+3 mV with 5 samples.

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Section: Introductionmentioning

confidence: 99%