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A 27.5 fJ/step SAR Capacitance-to-Digital Converter Based on Correlated Double Sampling | IEEE Conference Publication | IEEE Xplore

A 27.5 fJ/step SAR Capacitance-to-Digital Converter Based on Correlated Double Sampling


Abstract:

This paper presents a low-power and energy-efficient capacitance-to-digital converter (CDC) for a single-end sensor based on correlated double sampling (CDS) technology. ...Show More

Abstract:

This paper presents a low-power and energy-efficient capacitance-to-digital converter (CDC) for a single-end sensor based on correlated double sampling (CDS) technology. The CDS is accomplished by two opposite conversions, which reuse the comparator, CSENS, and CDAC. The proposed CDC eliminates the parasitic-dependent error caused by the comparator’s offset without extra consumption through the CDS. The simulation results show that the CDC can eliminate low-frequency interference and achieve anti-common-mode interference capabilities similar to differential circuits. To achieve low noise and high energy efficiency, the CDC employs a floating inverter amplifier (FIA) as the pre-amplifier of the comparator. Implemented in a 0.18 μm CMOS process, it consumes 0.91 μW from a 1.2 V supply. The simulation results show an effective number of 11.69 bits and an energy efficiency of 27.5 fJ per conversion step.
Date of Conference: 19-22 May 2024
Date Added to IEEE Xplore: 02 July 2024
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Conference Location: Singapore, Singapore
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I. Introduction

With the continuous development of emerging fields such as artificial intelligence, the Internet of Things, and biomedicine, the demand for detecting various physical, chemical, and other variables has become increasingly vital. Capacitive sensors are widely used to measure multiple variables such as pressure [1], humidity [2], acceleration [3], and toxic gases due to their advantages of no static power consumption, high sensitivity, and good temperature characteristics. In the above case, long-time monitoring is necessary. For example, intracranial pressure monitoring for medical diagnosis and atmospheric pressure monitoring for weather prediction require incredibly long working hours, which puts forward relatively stringent power consumption requirements for the sensing system. The interface circuit, also named capacitance-to-digital converter (CDC) for capacitive sensors, as the primary contributor to the system power, should be designed to consume low power. Various implementation methods have been proposed for the interface circuit in recent years.

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