@inproceedings{ebc0981e21df43138eaa7656ca2cc341,
title = "The error compensation for static hysteresis characteristics of Giant Magneto-Resistance sensor",
abstract = "The hysteresis is an important factor influencing the measurement accuracy of Giant Magneto-Resistance sensor (GMR). This paper takes the error compensation of static hysteresis as a breakthrough point to study. At first, a testing apparatus of static hysteresis characteristics is designed. After that, the method of polynomial hysteresis error compensation is proposed by T(x) model based on hyperbolic tangent function. Then the current or magnetic field value is obtained by inversing T(x) model. Compared to output of GMR sensor, T(x) inverse model reduces the influence of hysteresis on measurement accuracy, and improves the Linear working range and linearity.",
keywords = "GMR sensor, error compensation, hysteresis, linearity, magnetic field generator",
author = "Zhao Xiaodong and Qian Zheng and Tian Yuan and Wang Jingyi and Yu Hao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Sensors Applications Symposium, SAS 2016 ; Conference date: 20-04-2016 Through 22-04-2016",
year = "2016",
month = may,
day = "26",
doi = "10.1109/SAS.2016.7479901",
language = "英语",
series = "SAS 2016 - Sensors Applications Symposium, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "517--521",
booktitle = "SAS 2016 - Sensors Applications Symposium, Proceedings",
address = "美国",
}