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

Yegeun Kim, Changhun Seok, Kyeongwon Jeong, Haidam Choi, Heewon Choee, Sohmyung Ha, Minkyu Je

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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-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 μW from a 1.2V supply. This results in a Schreier's figure of merit (FOM) of 167.5 dB.

Original languageEnglish (US)
Title of host publicationESSERC 2024 - Proceedings
Subtitle of host publication50th IEEE European Solid-State Electronics Research Conference
PublisherIEEE Computer Society
Pages645-648
Number of pages4
ISBN (Electronic)9798350388138
DOIs
StatePublished - 2024
Event50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024 - Bruges, Belgium
Duration: Sep 9 2024Sep 12 2024

Publication series

NameEuropean Solid-State Circuits Conference
ISSN (Print)1930-8833

Conference

Conference50th IEEE European Solid-State Electronics Research Conference, ESSERC 2024
Country/TerritoryBelgium
CityBruges
Period9/9/249/12/24

Keywords

  • amplifier-embedded
  • closed-loop neural recording
  • noise-shaping
  • successive approximation register (SAR)

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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