Evidence map›Paper›PMID 39409437›Full record

ArticleSensors (Basel, Switzerland)2024

A Piezoresistive-Sensor Nonlinearity Correction on-Chip Method with Highly Robust Class-AB Driving Capability.

Kai Jing, Yuhang Han, Shaoxiong Yuan, Rong Zhao, Jiabo Cao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kai JingSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.ORCID 0000-0001-9471-6904
Yuhang HanSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.ORCID 0009-0004-3111-3478
Shaoxiong YuanSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Rong ZhaoSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Jiabo CaoSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.

Funding

The Key Research and Development Program of Shaanxi 2023-YBGY-351The National Natural Science Foundation of China 62004160, 428 62201450, 92364101Xi'an Science and Technology Program 23GXFW0063
6 · The paper itself

Abstract

This paper presents a thorough robust Class-AB power amplifier design and its application in pressure-mode sensor-on-chip nonlinearity correction. Considering its use in piezoresistive sensing applications, a gain-boosting-aided folded cascode structure is utilized to increase the amplifier's gain by a large amount as well as enhancing the power rejection ability, and a push-pull structure with miller compensation, a floating gate technique, and an adaptive output driving limiting structures are adopted to achieve high-efficiency current driving capability, high stability, and electronic environmental compatibility. This amplifier is applied in a real sensor nonlinearity correction on-chip system. With the help of a self-designed 7-bit + sign DAC and a self-designed two-stage operational amplifier, this system is compatible with nonlinear correction at different signal conditioning output values. It can also drive resistive sensors as small as 300 ohms and as high as tens of thousands of ohms. The designed two-stage operational amplifier utilizes the TSMC 0.18 um process, resulting in a final circuit power consumption of 0.183 mW. The amplifier exhibits a gain greater than 140 dB, a phase margin of 68°, and a unit gain bandwidth exceeding 199.76 kHz. The output voltage range spans from 0 to 4.6 V. The final simulation results indicate that the nonlinear correction system designed in this paper can correct piezoresistive sensors with a nonlinearity of up to ±2.5% under various PVT (Process-Voltage-Temperature) conditions. After calibration by this system, the maximum error in the output voltage is 4 mV, effectively reducing the nonlinearity to 4% of its original value in the worst-case scenario.

Indexed as

Class-AB output op-ampfolded-cascode amplifiernonlinear calibrationpiezoresistive sensor

Identifiers

PMID39409437
PMCPMC11479367

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.