A 95.9-dB SNDR 10-kHz BW 3rd-Order VCO-Based CT ΔΣ Modulator Using a Phase-Time Two-Step Quantizer
Capacitively-coupled continuous-time ΔΣ modulators (CC-CTDSMs) are widely used in precision bio-sensing applications such as ExG readout and neuromodulation for their low-noise and intrinsic anti-aliasing capabilities [1]–[7]. Growing demands in wearable and implantable bioelectronics drive CC-CTdSM designs to achieve better energy and hardware efficiency. Classic CC-CTDSMs employing SAR quantizers have demonstrated excellent performance [1]–[3], but they require a dedicated reference buffer for the SAR, which adds overhead on the system level. Time-domain architectures exploiting VCO-based quantizers are gaining popularity for several attractive merits, such as low-voltage compatibility, high-gain integration, intrinsic quantization, and intrinsic dynamic element matching (DEM). However, existing designs exhibit a few drawbacks. Firstly, achieving high quantizer resolution is challenging, as it requires exponential growth of hardware complexity (e.g., VCO tap numbers or free-running frequency), similar to flash/slope ADCs. Moreover, the intrinsic DEM is often forfeited if counting quantizer is used [4]–[7]. Secondly, when employing multiple VCOs, it requires back-and-forth time-to-voltage mapping, causing extra power and errors. While MASH can alleviate these issues [8], it introduces the problem of noise-leakage due to analog-digital filter mismatch.
Authors
- Wei-En Lee (ORCID: https://orcid.org/0000-0001-6554-3362)
- Xitie Zhang (ORCID: https://orcid.org/0000-0002-8114-9119)
- Visvesh Sathe (ORCID: https://orcid.org/0000-0001-7950-4495)
- Shaolan Li (ORCID: https://orcid.org/0000-0002-2736-5451)
- Tzu-Han Wang (ORCID: https://orcid.org/0000-0003-2733-0555)
- Tian Xie (ORCID: https://orcid.org/0000-0003-1391-9422)
- Kezhi Li (ORCID: https://orcid.org/0000-0003-3073-3128)
Institutions
- Georgia Institute of Technology (US)
Publication Details
- Published
- 2025-04-13
- DOI
- https://doi.org/10.1109/cicc63670.2025.10983499
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation