Detailed Information

Cited 0 time in webofscience Cited 5 time in scopus
Metadata Downloads

11 -bit 1.8uW 40KS/s segmented SAR ADC for sensor applications

Full metadata record
DC FieldValueLanguage
dc.contributor.authorRikan, B.S.[Rikan, B.S.]-
dc.contributor.authorKim, S.-Y.[Kim, S.-Y.]-
dc.contributor.authorLee, K.-Y.[Lee, K.-Y.]-
dc.date.accessioned2021-08-01T10:45:42Z-
dc.date.available2021-08-01T10:45:42Z-
dc.date.created2017-09-06-
dc.date.issued2016-
dc.identifier.urihttps://scholarworks.bwise.kr/skku/handle/2021.sw.skku/40147-
dc.description.abstractThis paper proposes an 11-b 40KS/s Successive Approximation Register (SAR) Analog-To-Digital Converter (ADC) structure for sensor applications. Segmented structure is adopted in capacitive DAC to improve the linearity and decrease the power consumption. 500 aF custom-designed unit capacitors are applied in CDAC to reduce the area and to keep the ESX and DNL within 1 LSB of an 11 bit ADC. A prototype ADC was implemented in CMOS 0.18mm technology. This structure consumed 1.8jiW and achieved 67.27-dB SNDR and 83.7-dB SFDR at 40KS/s under a 1.8-V supply. The figure of merit (POM) was 37fJ/conversion-step. © 2016 IEEE.-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subjectCapacitive dac-
dc.subjectFigure of merits-
dc.subjectLinearity-
dc.subjectnocv2-
dc.subjectSAR ADC-
dc.subjectSegmented DAC-
dc.subjectSegmented structure-
dc.subjectSensor applications-
dc.subjectSuccessive approximation register analogto-digital converters (ADC)-
dc.subjectAnalog to digital conversion-
dc.title11 -bit 1.8uW 40KS/s segmented SAR ADC for sensor applications-
dc.typeArticle-
dc.contributor.affiliatedAuthorRikan, B.S.[Rikan, B.S.]-
dc.contributor.affiliatedAuthorKim, S.-Y.[Kim, S.-Y.]-
dc.contributor.affiliatedAuthorLee, K.-Y.[Lee, K.-Y.]-
dc.identifier.doi10.1109/ISOCC.2016.7799705-
dc.identifier.scopusid2-s2.0-85010382756-
dc.identifier.bibliographicCitationISOCC 2016 - International SoC Design Conference: Smart SoC for Intelligent Things, pp.55 - 56-
dc.relation.isPartOfISOCC 2016 - International SoC Design Conference: Smart SoC for Intelligent Things-
dc.citation.titleISOCC 2016 - International SoC Design Conference: Smart SoC for Intelligent Things-
dc.citation.startPage55-
dc.citation.endPage56-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass3-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Information and Communication Engineering > School of Electronic and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, KANG YOON photo

LEE, KANG YOON
Information and Communication Engineering (Electronic and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE