Capacitance-to-Digital Converter for Ultra-Low-Power Wireless Sensor Nodes

Singh, Ashok Kumar and Dutta, Asudeb (2018) Capacitance-to-Digital Converter for Ultra-Low-Power Wireless Sensor Nodes. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Power consumption is one of the main design constraints in today’s integrated circuits. For systems like wearable electronics, UAVs, IOT systems powered by batteries which are charged using the energy harvested from various sources like RF, Thermal, Solar and Vibration, ultra-low power consumption is paramount. In these systems, Transducers which convert physical parameters into electrical parameters and the analog-to-digital converters (ADCs) are key components as the interface between the analog world and the digital domain. This thesis addresses the design challenges, strategies, as well as circuit techniques of ultra-low-power signal Front End used in several low power electronic systems in general and pressure measurement systems in particular. In this thesis, Capacitance to Digital Converter based pressure measurement system has been implemented. Here we present a general-purpose, wide-range CDC that combines a correlated double sampling (CDS) approach with a differential asynchronous SAR ADC. Since the sensor capacitor is sampled only twice per conversion, energy per conversion is low. Furthermore, since the CDS separates the sensor capacitor from the CDAC, a full differential input voltage range is preserved. The CDC has a 2.5-to-75.5pF conversion range. Monotonic SAR ADC was designed in 180nm CMOS with 1-V power supply and a 1-kS/s sampling rate with switching energy of about 100nW.

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IITH Creators:
IITH CreatorsORCiD
Dutta, AsudebUNSPECIFIED
Item Type: Thesis (Masters)
Uncontrolled Keywords: Correlated Double Sampling
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 29 Jun 2018 11:07
Last Modified: 31 Jul 2019 09:57
URI: http://raiith.iith.ac.in/id/eprint/4105
Publisher URL:
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