Alakhras, M., Hussein, M., & Oussalah, M. (2020). Location Fixing and Fingerprint Matching Fingerprint Map Construction for Indoor Localization. Journal of Sensors, 2020, 1–14. https://doi.org/10.1155/2020/7801752
Location fixing and fingerprint matching fingerprint map construction for indoor localization
|Author:||Alakhras, Marwan1; Hussein, Mousa1; Oussalah, Mourad2|
1EE, United Arab Emirates University, UAE
2University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202001283606
|Publish Date:|| 2020-01-28
Building the fingerprint map for indoor localization problems is a labour-intensive and time-consuming process. However, due to its direct influence on the location estimation accuracy, finding a proper mechanism to construct the fingerprint map is essential to enhance the position estimation accuracy. Therefore, in this work, we present a fingerprint map construction technique based on location fix determination and fingerprint matching motivated by the availability of advanced sensing capabilities in smartphones to reduce the time and labour cost required for the site survey. The proposed Location Fixing and Finger Matching (LFFM) method use a landmark graph-based localization approach to automatically estimate the location fixes for the Reference Points and matching the collected fingerprints, without requiring active user participation. Experimental results show that the proposed LFFM is faster than the manual fingerprint map construction method and remarkably improves the positioning accuracy.
Journal of sensors
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
© 2019 Marwan Alakhras et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.