A 5.3-μW 80.8-dB SNDR LNA-Embedded EF-CIFF Third-Order Noise-Shaping SAR ADC for Closed-Loop Neural Recording

This work presents a 3rd-order noise-shaping successive approximation register (NS-SAR) analog-to-digital converter (ADC) employing an error feedback-cascaded integrator feedforward (EF-CIFF) structure where a low-noise amplifier (LNA) is embedded, which operates for neural recording at a low oversampling ratio (OSR). By employing the 3rd-order EFCIFF NS-SAR ADC and embedded low-gain LNA, it achieves low input-referred noise (IRN) while offering a sufficiently wide input range so that stimulation artifacts can be accommodated when applied to closed-loop neural interface systems. By reusing the LNA, it can implement PVT-robust charge summation with good driving ability in the error feedback (EF) path without consuming additional power. Fabricated in a $180-\mathrm{nm}$ CMOS process, the proposed IC achieves a peak signal-to-noise-and-distortion ratio (SNDR) of 80.8 dB with an OSR of 16 and a 2.5 kHz signal bandwidth (BW), while consuming $5.3 \mu \mathrm{~W}$ from a $1.2-\mathrm{V}$ supply. This results in a Schreier’s figure of merit (FOM) of 167.5 dB.

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Publication Details

Published
2024-09-09
DOI
https://doi.org/10.1109/esserc62670.2024.10719405
Citations
2
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.58
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article

A 5.3-μW 80.8-dB SNDR LNA-Embedded EF-CIFF Third-Order Noise-Shaping SAR ADC for Closed-Loop Neural Recording

Minkyu Je, Sohmyung Ha, Haidam Choi, Kyeongwon Jeong et al.
2 citations
Analytical Chemistry and Sensors
0.58
article

A 5.3-μW 80.8-dB SNDR LNA-Embedded EF-CIFF Third-Order Noise-Shaping SAR ADC for Closed-Loop Neural Recording

Minkyu Je, Sohmyung Ha, Haidam Choi, Kyeongwon Jeong, Yegeun Kim, Heewon Choee, Changhun Seok
article en
2 citations

Abstract

This work presents a 3rd-order noise-shaping successive approximation register (NS-SAR) analog-to-digital converter (ADC) employing an error feedback-cascaded integrator feedforward (EF-CIFF) structure where a low-noise amplifier (LNA) is embedded, which operates for neural recording at a low oversampling ratio (OSR). By employing the 3rd-order EFCIFF NS-SAR ADC and embedded low-gain LNA, it achieves low input-referred noise (IRN) while offering a sufficiently wide input range so that stimulation artifacts can be accommodated when applied to closed-loop neural interface systems. By reusing the LNA, it can implement PVT-robust charge summation with good driving ability in the error feedback (EF) path without consuming additional power. Fabricated in a $180-\mathrm{nm}$ CMOS process, the proposed IC achieves a peak signal-to-noise-and-distortion ratio (SNDR) of 80.8 dB with an OSR of 16 and a 2.5 kHz signal bandwidth (BW), while consuming $5.3 \mu \mathrm{~W}$ from a $1.2-\mathrm{V}$ supply. This results in a Schreier’s figure of merit (FOM) of 167.5 dB.

New York University Abu Dhabi (AE), Korea Advanced Institute of Science and Technology (KR), ETH Zurich (CH)
Affordable and clean energy
Openalex Percentile: Top 36%
Analytical Chemistry and Sensors
0.58
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