On the practicability of Images Processing Methods for xMR Arrays

被引：0

作者：

Meier, Phil ^{[1
]}

Rohrmann, Kris ^{[1
]}

Sandner, Marvin ^{[1
]}

Prochaska, Marcus ^{[1
]}

机构：

[1] Ostfalia Univ Appl Sci, Fac Elect Engn, Wolfenbuettel, Germany

来源：

2018 IEEE 61ST INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2018年

关键词：

xMR; Hough transform; magnetoresistive sensors; iterative closest point; principal component analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The contactless and wear-free measuring of angles, rotational speeds and currents become more important in many industrial applications. Especially in the automotive area the use of magnetic field sensors based on Hall-or magnetoresistive-(MR) effects is increasing. In field of angular position sensing MR sensors play a dominant role, because of their high accuracy and robustness. However, upcoming vehicle concepts lead to increasing requirements, which cannot be fulfilled by available sensors. Thus, in this paper promising signal processing methods for MR sensor arrays are investigated. Three established image processing methods are adapted to magnetic field sensors arrays for angular detection. The presented methods are compared and judged regarding their applicability.

引用

页码：783 / 786

页数：4

共 10 条

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