A dynamic feature fusion strategy for magnetic field and wi-fi based indoor positioning

Yichen Du, Tughrul Arslan, Qianqian Shen

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

Abstract

The paper presents a dynamic feature fusion strategy to provide more accurate and reliable location estimates in areas of weak discernibility for indoor magnetic signals. Experimental evaluations were carried out in two different scenarios to confirm improved performance of the proposed strategy. The results achieved is more than a 25% and 45% improvement in the average error distance compared to conventional magnetic-field/Wi-Fi localisation system and single magnetic localisation system respectively.

Original languageEnglish
Title of host publication2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728117881
DOIs
Publication statusPublished - Sep 2019
Event2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019 - Pisa, Italy
Duration: 30 Sep 20193 Oct 2019

Publication series

Name2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019

Conference

Conference2019 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2019
Country/TerritoryItaly
CityPisa
Period30/09/193/10/19

Keywords

  • Feature fusion
  • Magnetic field anomalies
  • Weak discernibility of magnetic signal
  • Wi-Fi positioning

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