{"title":"A 1280 × 1024 SWIR DROIC With Self-Correcting Phase-Coded TDC-Interpolated Single-Slope ADC","authors":"Xuefei Du;Fei Zhou;Yuze Niu;Zhaofeng Huang;Qingjiang Xia;Hangyu Lu;Wengao Lu;Yi Zhuo;Yacong Zhang;Zhongjian Chen","doi":"10.1109/TCSII.2026.3699387","DOIUrl":null,"url":null,"abstract":"This brief presents a <inline-formula> <tex-math>$1280\\times 1024$ </tex-math></inline-formula> pixel-array, <inline-formula> <tex-math>$10~\\boldsymbol {\\mu }$ </tex-math></inline-formula>m-pitch digital readout integrated circuit (DROIC), fabricated in a 180-nm CMOS process and hybrid-integrated with an InGaAs sensor array for megapixel-level short-wave infrared (SWIR) imaging. The DROIC employs a column-parallel analog-to-digital converter (ADC) architecture, in which a 2-bit time-to-digital converter (TDC) is incorporated into a 12-bit single-slope (SS) ADC to quantize the residual signal. A chip-shared multiphase clock generator scheme is adopted to provide uniform phase references with small area and low power overhead. To address coarse-fine stitching errors caused by chip-shared multiphase clock distribution, a self-correcting phase-coded stitching scheme is proposed. The proposed self-correcting phase-coded stitching scheme mitigates SNR degradation and improves column-to-column uniformity by suppressing jump code errors. The hybrid-integrated SWIR focal-plane array (FPA) achieves an array-averaged SNR of 83.44 dB and a random noise of <inline-formula> <tex-math>$4.2~\\boldsymbol {\\mathrm {e^{-}_{rms}}}$ </tex-math></inline-formula>, while the measured dark fixed-pattern noise (FPN) is 0.11%. The FPA consumes 408 mW at a frame rate of 60 Hz, achieving a power efficiency of 427.16 fJ/LSB. These results demonstrate excellent noise performance, low FPN, and high energy efficiency for megapixel-level SWIR imaging.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"73 7","pages":"693-697"},"PeriodicalIF":4.6000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems II: Express Briefs","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11547223/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/2 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This brief presents a $1280\times 1024$ pixel-array, $10~\boldsymbol {\mu }$ m-pitch digital readout integrated circuit (DROIC), fabricated in a 180-nm CMOS process and hybrid-integrated with an InGaAs sensor array for megapixel-level short-wave infrared (SWIR) imaging. The DROIC employs a column-parallel analog-to-digital converter (ADC) architecture, in which a 2-bit time-to-digital converter (TDC) is incorporated into a 12-bit single-slope (SS) ADC to quantize the residual signal. A chip-shared multiphase clock generator scheme is adopted to provide uniform phase references with small area and low power overhead. To address coarse-fine stitching errors caused by chip-shared multiphase clock distribution, a self-correcting phase-coded stitching scheme is proposed. The proposed self-correcting phase-coded stitching scheme mitigates SNR degradation and improves column-to-column uniformity by suppressing jump code errors. The hybrid-integrated SWIR focal-plane array (FPA) achieves an array-averaged SNR of 83.44 dB and a random noise of $4.2~\boldsymbol {\mathrm {e^{-}_{rms}}}$ , while the measured dark fixed-pattern noise (FPN) is 0.11%. The FPA consumes 408 mW at a frame rate of 60 Hz, achieving a power efficiency of 427.16 fJ/LSB. These results demonstrate excellent noise performance, low FPN, and high energy efficiency for megapixel-level SWIR imaging.
期刊介绍:
TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes:
Circuits: Analog, Digital and Mixed Signal Circuits and Systems
Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic
Circuits and Systems, Power Electronics and Systems
Software for Analog-and-Logic Circuits and Systems
Control aspects of Circuits and Systems.