A 2 MHz Bandwidth TMR-Based Contactless Current Sensor With Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration

This article presents a tunnel magnetoresistance (TMR)-based magnetic sensor for contactless current sensing. The TMR readout circuit utilizes a current-balancing instrumentation amplifier (CBIA) with ping-pong auto-zeroing (PPAZ), achieving an integrated magnetic noise of 206 nTrms in a wide bandwidth of 2 MHz. Compared with chopping amplifiers, an auto-zeroed CBIA provides a ripple-free output, not only extending the available bandwidth but also ensuring a system linearity of 0.24%. In the gain configuration of 42 dB, the input magnetic field range is ±0.08 mT, corresponding to a dynamic range (DR) of 58 dB. The maximum offset of the TMR sensor is reduced to 311 nT (ten samples) through an SAR-assisted offset calibration scheme. Moreover, after compensating the temperature coefficient (TC) of the TMR bias generator, the sensitivity drift of the TMR sensor is reduced by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$18{\times }$ </tex-math></inline-formula>. Overall, the proposed TMR sensor readout, including the sensor bias circuit, achieves a state-of-the-art power efficiency in terms of figure-of-merit (FoM) of 2.5 fW/Hz or 146 dB. As a general bridge sensor readout, this work achieves 5.4 nV/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\surd $ </tex-math></inline-formula>Hz input-referred noise (IRN), <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1~{\mu }$ </tex-math></inline-formula>V input offset, and bandwidth efficiency of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$I_{\text {supply}}$ </tex-math></inline-formula>/bandwidth <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {=} 0.44$ </tex-math></inline-formula>.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Solid-State Circuits
Published
2024-10-07
DOI
https://doi.org/10.1109/jssc.2024.3468955
Citations
8
Primary Topic
Magnetic Field Sensors Techniques
Type
article
Field-Weighted Citation Impact
1.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 2 MHz Bandwidth TMR-Based Contactless Current Sensor With Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration

Xiaoyang Zeng, Zhiliang Hong, Yaohua Pan, Wenhui Qin et al.
8 citations
IEEE Journal of Solid-State Circuits
Magnetic Field Sensors Techniques
1.67
article

A 2 MHz Bandwidth TMR-Based Contactless Current Sensor With Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration

Xiaoyang Zeng, Zhiliang Hong, Yaohua Pan, Wenhui Qin, Tianxiang Qu, Jiawei Xu, Dong Tian, Yun Sheng
article en
8 citations

Abstract

This article presents a tunnel magnetoresistance (TMR)-based magnetic sensor for contactless current sensing. The TMR readout circuit utilizes a current-balancing instrumentation amplifier (CBIA) with ping-pong auto-zeroing (PPAZ), achieving an integrated magnetic noise of 206 nTrms in a wide bandwidth of 2 MHz. Compared with chopping amplifiers, an auto-zeroed CBIA provides a ripple-free output, not only extending the available bandwidth but also ensuring a system linearity of 0.24%. In the gain configuration of 42 dB, the input magnetic field range is ±0.08 mT, corresponding to a dynamic range (DR) of 58 dB. The maximum offset of the TMR sensor is reduced to 311 nT (ten samples) through an SAR-assisted offset calibration scheme. Moreover, after compensating the temperature coefficient (TC) of the TMR bias generator, the sensitivity drift of the TMR sensor is reduced by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$18{\times }$ </tex-math></inline-formula>. Overall, the proposed TMR sensor readout, including the sensor bias circuit, achieves a state-of-the-art power efficiency in terms of figure-of-merit (FoM) of 2.5 fW/Hz or 146 dB. As a general bridge sensor readout, this work achieves 5.4 nV/<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\surd $ </tex-math></inline-formula>Hz input-referred noise (IRN), <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1~{\mu }$ </tex-math></inline-formula>V input offset, and bandwidth efficiency of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$I_{\text {supply}}$ </tex-math></inline-formula>/bandwidth <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {=} 0.44$ </tex-math></inline-formula>.

IEEE Journal of Solid-State CircuitsVol. 60(5)
Fudan University (CN)
Affordable and clean energy
Openalex Percentile: Top 15%
Magnetic Field Sensors Techniques
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.