Incremental sigma delta ADC for high resolution low power sensor고해상도 저전력 센서를 위한 인크리멘탈 시그마 델타 아날로그-디지털 변환기

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dc.contributor.advisorRyu, Seung-Tak-
dc.contributor.advisor류승탁-
dc.contributor.authorSeo, Ki-Hoon-
dc.contributor.author서기훈-
dc.date.accessioned2017-03-29T02:37:31Z-
dc.date.available2017-03-29T02:37:31Z-
dc.date.issued2016-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=649613&flag=dissertationen_US
dc.identifier.urihttp://hdl.handle.net/10203/221710-
dc.description학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2016.2 ,[v, 43 p. :]-
dc.description.abstractThis paper introduces Incremental $\Sigma \Delta$ ADC for high resolution low power sensor. It is based on a power-efficient zoom ADC architecture, which consists of a coarse 4-bit SAR ADC and a fine incremental $\Sigma \Delta$ ADC. To reduce total conversion cycle, the zoom ADC utilizes $3^{rd}$ order noise shaping characteristic which is achieved by a study MASH architecture. Unlike conventional MASH structures, the sturdy MASH architecture alleviates the gain requirement of integrators due to the removal of digital cancelation logic. Utilizing zoom and study MASH architecture together, Incremental Zoom Sturdy MASH architecture is proposed. The requirement of amplifiers is significantly relaxed due to the proposed architecture and it allows the realization of a low power architecture. The zoom ADC with SAR and $\Sigma \Delta$ ADC is implemented in 0.35um CMOS process. Simulation result shows that $3^{rd}$ order noise shaping and 18bit resolution in conversion time of 606us is achieved, while consuming 161uA current from 3.3V supply.-
dc.languageeng-
dc.publisher한국과학기술원-
dc.subjectHigh Resolution Sensor-
dc.subjectLow-power Sensor-
dc.subjectDT-DSM-
dc.subjectSturdy MASH-
dc.subjectZoom ADC-
dc.subject고해상도 센서-
dc.subject이산 시간 델타 시그마 모듈레이터-
dc.subjectZoom 아날로그-디지털 변환기-
dc.subject저전력 센서-
dc.titleIncremental sigma delta ADC for high resolution low power sensor-
dc.title.alternative고해상도 저전력 센서를 위한 인크리멘탈 시그마 델타 아날로그-디지털 변환기-
dc.typeThesis(Master)-
dc.identifier.CNRN325007-
dc.description.department한국과학기술원 :전기및전자공학부,-
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EE-Theses_Master(석사논문)
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