TY - GEN
T1 - Wi-Fi fingerprint database refinement method and performance analysis
AU - Tao, Ye
AU - Zhao, Long
AU - Zhang, Qieqie
AU - Chen, Zhipeng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - Wi-Fi fingerprint database is a common method of indoor positioning, but its construction process is tedious. In order to solve the workload of constructing the fingerprint database, this paper studies a variety of interpolation methods to estimate the signal strength of unknown points, by using the signal strength of the known reference points. In this paper, the credibility function is proposed to classify the different signal strength restoring errors, the segmentation function is used to judge the error of the signal and compute the credibility of the interpolation algorithm in the refinement of the Wi-Fi fingerprint database. In order to study the feasibility of various interpolation algorithms, the corresponding experiments are carried out. The experimental data were collected on the 4th floor corridor of Beihang E Block, and the performance of the fingerprint database was analyzed by both credibility and positioning results. The experimental results show that using the appropriate interpolation algorithm can indeed greatly reduce the workload of constructing the fingerprint database under the two evaluation criteria of credibility and positioning results.
AB - Wi-Fi fingerprint database is a common method of indoor positioning, but its construction process is tedious. In order to solve the workload of constructing the fingerprint database, this paper studies a variety of interpolation methods to estimate the signal strength of unknown points, by using the signal strength of the known reference points. In this paper, the credibility function is proposed to classify the different signal strength restoring errors, the segmentation function is used to judge the error of the signal and compute the credibility of the interpolation algorithm in the refinement of the Wi-Fi fingerprint database. In order to study the feasibility of various interpolation algorithms, the corresponding experiments are carried out. The experimental data were collected on the 4th floor corridor of Beihang E Block, and the performance of the fingerprint database was analyzed by both credibility and positioning results. The experimental results show that using the appropriate interpolation algorithm can indeed greatly reduce the workload of constructing the fingerprint database under the two evaluation criteria of credibility and positioning results.
KW - Wi-Fi fingerprint database
KW - credibility
KW - indoor positioning
KW - interpolation
KW - positioning error
UR - https://www.scopus.com/pages/publications/85060215945
U2 - 10.1109/UPINLBS.2018.8559772
DO - 10.1109/UPINLBS.2018.8559772
M3 - 会议稿件
AN - SCOPUS:85060215945
T3 - Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
BT - Proceedings of 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Conference on Ubiquitous Positioning, Indoor Navigation and Location-Based Services, UPINLBS 2018
Y2 - 22 March 2018 through 23 March 2018
ER -