Positioning method for magnetic sensor array based on linear regression

Jiaqi Li, Jin Xiao, Zhijie Zhang, Dan Sun
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Abstract

In this paper, a new positioning method based on magnetic sensor array is proposed, which includes the linear regression algorithm in machine learning, to make the system predict the position of the object in the magnetic field according to the measured data more accurately without large fluctuation caused by noise and surrounding magnetic fields. The feasibility of this method is introduced in the paper and the experiment proves that it could reduce noise and improve positioning accuracy.
基于线性回归的磁传感器阵列定位方法
本文提出了一种新的基于磁传感器阵列的定位方法,其中包括机器学习中的线性回归算法,使系统根据测量数据更准确地预测物体在磁场中的位置,而不会因噪声和周围磁场而产生较大的波动。文中介绍了该方法的可行性,并通过实验证明了该方法能有效地降低噪声,提高定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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