Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 13, Issue 1, Pages 330-341Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2015.2491264
Keywords
Barometric pressure; floor identification; hybrid; indoor positioning; wireless fingerprinting
Categories
Funding
- National Natural Science Foundation of China [61374214]
- 863 Achievement Transformation Project of Tianjin [14RCHZGX00857]
- Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device
Ask authors/readers for more resources
Identifying different floors in multistory buildings is a very important task for precise indoor localization in industrial and commercial applications. The accuracy from existing studies is rather low, especially in multistory buildings with irregular structures such as hollow areas, which is common in various industrial and commercial sites. As a better solution, this paper proposes a hybrid floor identification (HYFI) algorithm, which exploits wireless access point (AP) distribution and barometric pressure information. It first extracts the distribution probability of APs scanned in different floors from offline training fingerprints and adopts Bayesian classification to accurately identify floor in well-partitioned zones without hollow areas. The floor information obtained from wireless AP distribution is then used to initialize and calibrate barometric pressure-based floor identification to compensate variable environmental effects. Extensive experiments confirm that the HYFI approach significantly outperforms purely wireless fingerprinting-based or purely barometric pressure-based floor identification approaches. In our field tests in multistory facilities with irregular hollow areas, it can identify the floor level with more than 96.1% accuracy.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available