A tri-dipole based location and orientation estimation method in near magnetic field

Sheng Wen Lo, Kuan Chun Sun, Shih Ho Hsieh, Jwu-Sheng Hu, Jen Yuan Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper aims to find an accurate, robust, novel location and orientation estimation method related to a landmark consist of three orthogonal electromagnets modulated with different frequencies. The solution uniqueness is explained in this paper with the fact that near magnetic field has more distinguishable features. The proposed method demodulate the signals from the landmark and analyze independent magnetic field from three electromagnets basing on magnetic dipole model. Extended Kalman filter is applied to solve the higher order nonlinear problems. The simulation and experiment result show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publicationAIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1462-1467
Number of pages6
ISBN (Print)9781538618547
DOIs
StatePublished - 30 Aug 2018
Event2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand
Duration: 9 Jul 201812 Jul 2018

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2018-July

Conference

Conference2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
CountryNew Zealand
CityAuckland
Period9/07/1812/07/18

Fingerprint Dive into the research topics of 'A tri-dipole based location and orientation estimation method in near magnetic field'. Together they form a unique fingerprint.

  • Cite this

    Lo, S. W., Sun, K. C., Hsieh, S. H., Hu, J-S., & Chang, J. Y. (2018). A tri-dipole based location and orientation estimation method in near magnetic field. In AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 1462-1467). [8452319] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2018.8452319