Magnetic Field Indoor Positioning System Based on Automatic Spatial-Segmentation Strategy

Yichen Du*, Tughrul Arslan

*Corresponding author for this work

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

Abstract

We present an automatic spatial-segmentation method for a novel magnetic-field hybrid indoor positioning system. Unlike conventional approaches that implement magnetic field alone for the whole experimental space, our approach employs an efficient automatic segmentation method to make up the constraints of magnetic-field indoor positioning after fully evaluating local magnetic-field characteristics. By generating new partitioned databases, this method takes full advantage of characteristic changes in the geomagnetic field according to the distribution of disturbance objects inside buildings. Moreover, it reduces the processing time, as new databases contribute only to the region partition, and no further location calculation is involved. Experimental evaluations carried out with two different sets of hybrid techniques confirm satisfactory performance of the indoor localisation based on automatic spatial segmentation achieving more than a 1 meters' improvement in the average error distance compared to conventional magnetic-field localisation systems.

Original languageEnglish
Title of host publication2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
Publication statusPublished - 2017
Event8th International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Sapporo, Japan
Duration: 18 Sep 201721 Sep 2017

Publication series

NameInternational Conference on Indoor Positioning and Indoor Navigation
PublisherIEEE
ISSN (Print)2162-7347

Conference

Conference8th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
CountryJapan
CitySapporo
Period18/09/1721/09/17

Keywords

  • magnetic field anomlies
  • spatial segmetation
  • partitioned database
  • hybird system
  • self-adaptive approach

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