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A Second-Order NS Pipelined SAR ADC with Quantization-Prediction-Unrolled Gain Error Shaping and Fully Passive Integrator
Zhang, Hongshuai1; Zhu, Yan1; Martins, Rui P.1,2; Chan, Chi Hang1
2023-12-01
Source PublicationIEEE Journal of Solid-State Circuits
ISSN0018-9200
Volume58Issue:12Pages:3565-3575
Abstract

This article presents a second-order noise shaping (NS) pipelined successive approximation register (SAR) analog-to-digital converter (ADC) with fully passive NS and a second-order gain error shaping (GES) based on a Quantization-Prediction-Unrolled scheme. The GES is enabled by subtracting the residue voltage with a predicted quantization error through a second-order digital GES filter. Utilizing an auxiliary SAR ADC for the prediction retains an outstanding GES ability and avoids deteriorating the residue amplifier's (RAs) linearity as in the conventional GES scheme. The NS also applies to the auxiliary SAR ADC to further ease the overhead from the GES techniques. Besides, a second-order fully passive NS SAR ADC is presented in the backend stage of the overall pipelined SAR architecture, which only calls for a single additional small-size input pair in the comparator, mitigating the noise penalty from the high-order passive NS scheme. Furthermore, a two-step floating inverter amplifier (FIA) is introduced, alleviating the severe gain variation over process-voltage-temperature (PVT) in the conventional one-step counterpart and eventually allowing the energy-efficient open-loop FIA to fit our architecture. With partial time interleaving, the ADC in a 28-nm CMOS process runs at 400 MS/s, achieving 25 MHz bandwidth and 77.2 dB nominal signal-to-noise-and-distortion-ratio (SNDR) with 8 × OSR. It consumes 2.03 mW power from a 1-V supply and exhibits a 178-dB Schreier figure-of-merit (FoMS). The SNDR of the ADC deviates less than 3-dB from the nominal performance within-24% to +18% gain error.

KeywordAnalog-to-digital Converter (Adc) Auxiliary Noise Shaping (Ns) Successive-approximation Register (Sar) Adc Capacitor Stacking Data-weighted Averaging And detect-And-skip (Dwa And Das) Differential Sampling Energy Efficient Error SupprEssion (Es) And Reconstruction Gain Error Shaping (Ges) Partial Time Interleaving Passive Ns Pipelined Sar Quantization Predication Unrolled Two-step Floating Inverter Amplifier (Fia)
DOI10.1109/JSSC.2023.3307189
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:001064601000001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85171529719
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorChan, Chi Hang
Affiliation1.Institute of Microelectronics, State Key Laboratory of Analog and Mixed Signal VLSI, Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, Macao
2.Instituto Superior Técnico, Universidade de Lisboa, Lisbon, 649-004, Portugal
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Zhang, Hongshuai,Zhu, Yan,Martins, Rui P.,et al. A Second-Order NS Pipelined SAR ADC with Quantization-Prediction-Unrolled Gain Error Shaping and Fully Passive Integrator[J]. IEEE Journal of Solid-State Circuits, 2023, 58(12), 3565-3575.
APA Zhang, Hongshuai., Zhu, Yan., Martins, Rui P.., & Chan, Chi Hang (2023). A Second-Order NS Pipelined SAR ADC with Quantization-Prediction-Unrolled Gain Error Shaping and Fully Passive Integrator. IEEE Journal of Solid-State Circuits, 58(12), 3565-3575.
MLA Zhang, Hongshuai,et al."A Second-Order NS Pipelined SAR ADC with Quantization-Prediction-Unrolled Gain Error Shaping and Fully Passive Integrator".IEEE Journal of Solid-State Circuits 58.12(2023):3565-3575.
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