A Capacitively Coupled CT Δ Σm with Chopping Artifacts Rejection for Sensor Readout ICs

Chaegang Lim, Yohan Choi, Yunsoo Park, Jaegeun Song, Soon Sung Ahn, Sooho Park, Chulwoo Kim

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This paper presents a sensor readout integrated circuit (ROIC) using a capacitively coupled instrumentation amplifier (CCIA)-embedded continuous-time Δ Σ modulator (CT Δ Σ M ) incorporating chopping artifact rejection. Chopping is an essential technique for suppressing the offset and 1/f noise. However, the chopping artifacts in the modulator loop degrade the in-band noise, linearity, and loop stability. In the proposed design, chopping aliasing is avoided by setting the chopping frequency ( fch ) same as the sampling frequency ( fs ). The chopping ripple is mitigated using the ripple reduction loop (RRL), and the shaped quantization noise-folding resulting from the RRL is prevented by minimizing the loop gain and bandwidth of the RRL. The residual ripple and spikes are filtered out using the alias rejection band of CT Δ Σ M. The third-order loop filter enables sufficient noise-shaping with a low oversampling ratio (OSR). The chip is implemented in a 180-nm CMOS process with an active area of 1.65 mm2, drawing 232.2 μA at a 1.8 V supply. The proposed capacitively coupled (CC)-CT Δ Σ M has a 19.4 nV Hz input-referred noise density, 1.9μV offset, 0.08% gain error, 16 ppm integral nonlinearity (INL), and 140 dB common-mode rejection ratio (CMRR) within an input range of 60 mV pp. With -110.1 dB total harmonic distortion (THD), excellent dynamic linearity performance is achieved owing to the CCIA-integrated design and chopping artifact rejection technique.

Original languageEnglish
Article number9446071
Pages (from-to)3242-3253
Number of pages12
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Issue number8
Publication statusPublished - 2021 Aug


  • 1/ f noise
  • CCIA
  • CTδσM
  • RRL
  • analog-to-digital converter (ADC)
  • chopping artifacts
  • chopping technique
  • noisefolding
  • ripple
  • sensor readout IC
  • spike

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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