2016
DOI: 10.1109/jsen.2016.2580742
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A Closed-Loop Operation to Improve GMR Sensor Accuracy

Abstract: The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription.

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Cited by 44 publications
(28 citation statements)
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References 13 publications
(11 reference statements)
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“…Magnetoresistive sensors (MR) made from magnetic layers and based on anisotropic magnetoresistance (AMR) [6][7][8][9], giant magnetoresistance (GMR) [10][11][12][13][14][15], and the tunneling magnetoresistance effect (TMR) [16] are now extensively studied and used for detection of DC/AC currents.…”
Section: Introductionmentioning
confidence: 99%
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“…Magnetoresistive sensors (MR) made from magnetic layers and based on anisotropic magnetoresistance (AMR) [6][7][8][9], giant magnetoresistance (GMR) [10][11][12][13][14][15], and the tunneling magnetoresistance effect (TMR) [16] are now extensively studied and used for detection of DC/AC currents.…”
Section: Introductionmentioning
confidence: 99%
“…GMR sensors offer high sensitivity, wide frequency range, small size, low power consumption, and they are compatible with many other state-of-the-art technologies [13]. GMR sensors also have a number of drawbacks, from which we can note nonlinearity, hysteresis, offset, and a temperature dependent output that can reduce measurement accuracy [14]. In addition, the output of some of GMR sensors is unipolar, which limits its application in AC measurements [2].…”
Section: Introductionmentioning
confidence: 99%
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“…Recently, Li and Dixon [27] have proposed the use of the closed-loop circuit to improve the measurement accuracy of GMR sensor. By using the biasing coil and feedback Differential-to-single ended Wheatstone bridge output by using a voltage differential amplifier (adopted from Ref.…”
Section: Magnetic Sensors -Development Trends and Applicationsmentioning
confidence: 99%