A 0.1-nW-1-μ W energy-efficient all-dynamic versatile capacitance-to-digital converter

Haoming Xin (Corresponding author), Martin Andraud, Peter Baltus, Eugenio Cantatore, Pieter Harpe

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

A versatile, low-power, and energy-efficient capacitance-to-digital converter (CDC) for Internet-of-Things (IoT) is presented, based on an all-dynamic architecture with adaptable speed, resolution, and range. The proposed CDC includes a single-armed capacitive bridge and a differential switched-capacitor 10-b asynchronous successive approximation register (SAR) analog-to-digital-converter (ADC). The bridge output is directly sampled by the ADC through fully passive correlated-double-sampling (CDS) approach, which enables a fully dynamic operation. The design is fabricated in a 65-nm CMOS technology. Thanks to the dynamic nature of the CDC, sampling rates from 1 S/s up to 100 kS/s are supported and capacitances from 1.23 to 24.59 pF can be digitized, while the power scales inherently from 0.1 nW to 1 μW. Optionally, the range can be further extended to >100 pF, and oversampling can be used to enhance resolution. This makes the design versatile to efficiently deal with a variety of sensors having different speed and resolution requirements and different capacitance values. The 0.1 nW lowest absolute power is > 20 × smaller than the prior art, and the figure of merit (FoM) from 18 to 59 fJ/conv-step is also the lowest among prior designs. To provide application examples, this chip is further verified with a microelectromechanical (MEMS) pressure sensor and a MEMS accelerometer. It can measure environmental pressure consuming only 0.8 nW at a speed of 100 S/s, and measure acceleration using 1.4 nW at a speed of 200 S/s.

LanguageEnglish
Article number8672469
Pages1841-1851
Number of pages11
JournalIEEE Journal of Solid-State Circuits
Volume54
Issue number7
DOIs
StatePublished - 1 Jul 2019

Fingerprint

Capacitance
Digital to analog conversion
MEMS
Sampling
Pressure sensors
Accelerometers
Capacitors
Sensors

Keywords

  • Capacitance-to-digital converter (CDC)
  • dynamic
  • Internet-of-Things (IoT)
  • microelectromechanical (MEMS) sensors
  • successive approximation register (SAR) analog-to-digital converter (ADC)
  • versatility

Cite this

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title = "A 0.1-nW-1-μ W energy-efficient all-dynamic versatile capacitance-to-digital converter",
abstract = "A versatile, low-power, and energy-efficient capacitance-to-digital converter (CDC) for Internet-of-Things (IoT) is presented, based on an all-dynamic architecture with adaptable speed, resolution, and range. The proposed CDC includes a single-armed capacitive bridge and a differential switched-capacitor 10-b asynchronous successive approximation register (SAR) analog-to-digital-converter (ADC). The bridge output is directly sampled by the ADC through fully passive correlated-double-sampling (CDS) approach, which enables a fully dynamic operation. The design is fabricated in a 65-nm CMOS technology. Thanks to the dynamic nature of the CDC, sampling rates from 1 S/s up to 100 kS/s are supported and capacitances from 1.23 to 24.59 pF can be digitized, while the power scales inherently from 0.1 nW to 1 μW. Optionally, the range can be further extended to >100 pF, and oversampling can be used to enhance resolution. This makes the design versatile to efficiently deal with a variety of sensors having different speed and resolution requirements and different capacitance values. The 0.1 nW lowest absolute power is > 20 × smaller than the prior art, and the figure of merit (FoM) from 18 to 59 fJ/conv-step is also the lowest among prior designs. To provide application examples, this chip is further verified with a microelectromechanical (MEMS) pressure sensor and a MEMS accelerometer. It can measure environmental pressure consuming only 0.8 nW at a speed of 100 S/s, and measure acceleration using 1.4 nW at a speed of 200 S/s.",
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A 0.1-nW-1-μ W energy-efficient all-dynamic versatile capacitance-to-digital converter. / Xin, Haoming (Corresponding author); Andraud, Martin; Baltus, Peter; Cantatore, Eugenio; Harpe, Pieter.

In: IEEE Journal of Solid-State Circuits, Vol. 54, No. 7, 8672469, 01.07.2019, p. 1841-1851.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Xin,Haoming

AU - Andraud,Martin

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