A Comprehensive Digital Calibration for Pipelined ADCs Using Cascaded Nonlinearity Correction
This brief presents a digital calibration for pipelined analog-to-digital converters (ADCs) utilizing the cascaded nonlinearity correction (CNC) method. By cascading three correction layers for compensating nonlinearities in different parts of pipelined ADC, it comprehensively calibrates distortion in both ADC front end and back end with a low hardware cost. In addition, this work employs a discriminative fine-tuning least-mean-square (DFT-LMS) algorithm with varying step sizes for different layers, thereby improving both the convergence speed and the accuracy. An 800-MS/s, 12-bit ring amplifier-based pipelined ADC is presented to verify the proposed calibration technique. With calibration, the SFDR has a 26.7-dB improvement at low frequency and 23.6-dB improvement at Nyquist frequency, resulting in over 6-dB improvement compared with prior-art calibration techniques. The calibration algorithm has been verified on a TSMC 28-nm CMOS process. The experimental results show that the proposed ADC calibrator has an area of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$6592~\mu $ </tex-math></inline-formula>m2 and consumes 5.31 mW at 800-MHz clock rate.
Authors
- Junyan Ren (ORCID: https://orcid.org/0000-0002-7799-6251)
- Fan Ye (ORCID: https://orcid.org/0000-0002-1089-1498)
- Danfeng Zhai (ORCID: https://orcid.org/0000-0002-1616-9906)
- Jingchao Lan (ORCID: https://orcid.org/0000-0003-2861-1906)
- Yuguo Xiang (ORCID: https://orcid.org/0009-0005-1951-7733)
- Miaojia Song (ORCID: https://orcid.org/0000-0002-1417-4592)
- Dayan Zhou
Institutions
- Fudan University (CN)
Publication Details
- Journal
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1109/tvlsi.2024.3496669
- Citations
- 2
- Primary Topic
- Sensor Technology and Measurement Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- National Natural Science Foundation of China