A 1.15 μW 200 kS/s 10-b Monotonic SAR ADC Using Dual On-Chip Calibrations and Accuracy Enhancement Techniques.

Sensors (Basel)

School of Electronics and Information, Information and Communication System-on-Chip (SoC) Research Center, Kyung Hee University, Yongin 17104, Korea.

Published: October 2018

Herein, we present an energy efficient successive-approximation-register (SAR) analog-to-digital converter (ADC) featuring on-chip dual calibration and various accuracy-enhancement techniques. The dual calibration technique is realized in an energy and area-efficient manner for comparator offset calibration (COC) and digital-to-analog converter (DAC) capacitor mismatch calibration. The calibration of common-mode (CM) dependent comparator offset is performed without using separate circuit blocks by reusing the DAC for generating calibration signals. The calibration of the DAC mismatch is efficiently performed by reusing the comparator for delay-based mismatch detection. For accuracy enhancement, we propose new circuit techniques for a comparator, a sampling switch, and a DAC capacitor. An improved dynamic latched comparator is proposed with kick-back suppression and CM dependent offset calibration. An accuracy-enhanced bootstrap sampling switch suppresses the leakage-induced error <180 μV and the sampling error <150 μV. The energy-efficient monotonic switching technique is effectively combined with thermometer coding, which reduces the settling error in the DAC. The ADC is realized using a 0.18 μm complementary metal⁻oxide⁻semiconductor (CMOS) process in an area of 0.28 mm². At the sampling rate = 9 kS/s, the proposed ADC achieves a signal-to-noise and distortion ratio (SNDR) of 55.5 dB and a spurious-free dynamic range (SFDR) of 70.6 dB. The proposed dual calibration technique improves the SFDR by 12.7 dB. Consuming 1.15 μW at = 200 kS/s, the ADC achieves an SNDR of 55.9 dB and an SFDR of 60.3 dB with a figure-of-merit of 11.4 fJ/conversion-step.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210042PMC
http://dx.doi.org/10.3390/s18103486DOI Listing

Publication Analysis

Top Keywords

accuracy enhancement
8
calibration
8
dual calibration
8
comparator offset
8
offset calibration
8
dac capacitor
8
sampling switch
8
comparator
5
115 μw
4
μw 200
4

Similar Publications

Background: Vestibular schwannoma (VS) is a common intracranial tumor that affects patients' quality of life. Reliable imaging techniques for tumor volume assessment are essential for guiding management decisions. The study aimed to compare the ABC/2 method to the gold standard planimetry method for volumetric assessment of VS.

View Article and Find Full Text PDF

() utilizes heme as an iron source from the host during infection. Biliverdin beta and delta (BVIXβ and BVIXδ) are generated by HemO, specific to , while biliverdin alpha is generated from the bacterial BphO system and by mammalian heme oxygenases. Here, we have developed and characterized a quantitative LC-MS/MS assay for the separation of three endogenous isomers, BVIXα, BVIXβ, and BVIXδ.

View Article and Find Full Text PDF

As the global economy expands, waterway transportation has become increasingly crucial to the logistics sector. This growth presents both significant challenges and opportunities for enhancing the accuracy of ship detection and tracking through the application of artificial intelligence. This article introduces a multi-object tracking system designed for unmanned aerial vehicles (UAVs), utilizing the YOLOv7 and Deep SORT algorithms for detection and tracking, respectively.

View Article and Find Full Text PDF

In this comprehensive analysis of Chile's air quality dynamics spanning 2016 to 2021, the utilization of data from the National Air Quality Information System (SINCA) and its network of monitoring stations was undertaken. Quintero, Puchuncaví, and Coyhaique were the focal points of this study, with the primary objective being the construction of predictive models for sulfur dioxide (SO2), fine particulate matter (PM2.5), and coarse particulate matter (PM10).

View Article and Find Full Text PDF

Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.

PLoS One

January 2025

Medical Image Processing Research Group (MIPRG), Dept. of Elect. & Comp. Engineering, COMSATS University Islamabad, Islamabad, Pakistan.

Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion. Techniques such as Compressed Sensing (CS) and Parallel Imaging (pMRI) have been proposed to accelerate MRI data acquisition and improve image quality. However, these methods have limitations in high spatial-resolution applications, often resulting in blurring or residual artifacts.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!