Abstract
Location fingerprinting in wireless LAN positioning used by RSSI (Received Signal Strength Indication) has become one of the most popular indoor positioning technologies. However RSSI is easily affected by environment, it is difficult to improve the accuracy. In this paper, a hybrid fingerprints construction algorithm was presented by RSSI and geomagnetic field which can effectively reduce the inaccuracy compared to the construction location fingerprints that only use RSSI. This article has also presented the C-GPCA (Clustering Grouped Principal Component Analysis) algorithm, which can be used in the further optimization of hybrid fingerprint database, improving the positioning accuracy.
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Acknowledgment
The authors would like to thank the anonymous reviewers for their helpful and constructive comments. This work is supported by Program for Excellent Talents in Hunan Normal University (Grant no. ET61008) and the Education Reform Item of Hunan Normal University(Grant no [2011]75, [2014]85-39).
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Li, YH., Tang, WS., Wang, SC., Hui, P. (2016). A New Method for Yielding a Database of Hybrid Location Fingerprints. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_18
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DOI: https://doi.org/10.1007/978-3-319-42294-7_18
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