Paper Info
Title
Location Fixing and Fingerprint Matching Fingerprint Map Construction for Indoor Localization
Abstract
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.
Year
DOI
Venue
2020
10.1155/2020/7801752
JOURNAL OF SENSORS
Field
DocType
Volume
Computer vision,Graph,Wireless site survey,Fingerprint,Artificial intelligence,Engineering,Construction method,Landmark
Journal
2020
ISSN
Citations 
PageRank 
1687-725X
1
0.36
References 
Authors
15
3
Name
Order
Citations
PageRank
Marwan Alakhras110.36
Mousa Hussein210.36
Mourad Oussalah334476.14