Indoor Localization Based on Bluetooth
Author(s) -
Jun Yin,
Yin Feng-chun
Publication year - 2019
Publication title -
artificial intelligence research
Language(s) - English
Resource type - Journals
eISSN - 1927-6982
pISSN - 1927-6974
DOI - 10.5430/air.v7n2p87
Subject(s) - bluetooth , hybrid positioning system , fingerprint (computing) , global positioning system , computer science , positioning technology , real time computing , process (computing) , outlier , terminal (telecommunication) , transmission (telecommunications) , indoor positioning system , positioning system , wireless , computer vision , artificial intelligence , engineering , telecommunications , accelerometer , operating system , structural engineering , node (physics)
Global positioning system (GPS) has been widely used in positioning, vehicle navigation and other environments. However, in indoor environments, it can not achieve accurate positioning because of the weak signal through the wall. In other words, more appropriate techniques are needed in indoor scenes. Bluetooth technology has attracted more and more attention due to its advantages of low power consumption, wide coverage and fast transmission speed. Bluetooth-based indoor positioning refers to the indoor positioning technology that uses mobile terminal to receive Bluetooth signals from multiple Bluetooth devices, and calculates the location information of mobile terminal through the received information, so as to achieve high-precision positioning. In this paper, an effective optimal location algorithm is proposed. Firstly, the outlier detection algorithm is improved to remove the interference of abnormal data on the positioning accuracy; then, different filtering algorithms are used to process the received fingerprint information to ensure the accuracy of the fingerprint database establishment stage, and reduce the unnecessary construction time; finally, the average position is calculated by the average fingerprint data and judged the useru0027s area.
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