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Design of a Capacitance-to-Digital Converter Based on Iterative Delay-Chain Discharge in 180 nm CMOS Technology
Mattia Cicalini1, Massimo Piotto1, Paolo Bruschi1
1Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
This study presents an ultra-low power capacitance-to-digital converter for energy-constrained health monitoring devices. The novel design achieves high linearity and robustness with minimal energy consumption, making it ideal for miniaturized sensors.
Area of Science:
- Integrated circuit design
- Biomedical engineering
- Low-power electronics
Background:
- Miniaturized, ultra-low power interfaces are critical for energy-constrained health monitoring applications like wearable, ingestible, and implantable devices.
- Capacitive sensors and their digital readout interfaces are essential components in these systems.
Purpose of the Study:
- To analyze and design a novel capacitance-to-digital converter (CDC) utilizing an iterative delay-chain discharge architecture.
- To demonstrate the circuit's operating principles, design trade-offs, and performance in a practical application.
Main Methods:
- Design and simulation of a CDC in a 180 nm CMOS process.
- Utilizing an iterative delay-chain discharge architecture for capacitance-to-digital conversion.
- Testing the design across various process and temperature corners (-40 °C to +125 °C).
Main Results:
- Achieved ultra-low energy consumption (≤1.884 nJ/conversion) and excellent linearity (15.26 ppm error).
- Demonstrated good robustness against process variations (114.0 ppm sensitivity) and temperature fluctuations (81.9 ppm/°C).
- The circuit occupies a small silicon area (0.0192 mm²) and has a conversion time of 2.93 ms, with a resolution of 10.3 effective bits.
Conclusions:
- The designed CDC is suitable for ultra-low power, miniaturized sensor interfaces in medical and health applications.
- The iterative delay-chain discharge architecture offers a promising approach for efficient capacitance-to-digital conversion.
- The demonstrated performance metrics highlight the potential of this design for next-generation energy-constrained monitoring devices.
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