Magnetic field indoor positioning system based on automatic spatial-segmentation strategy

Author(s):  
Yichen Du ◽  
Tughrul Arslan
Author(s):  
J. Liu ◽  
C. Jiang ◽  
Z. Shi

Sufficient signal nodes are mostly required to implement indoor localization in mainstream research. Magnetic field take advantage of high precision, stable and reliability, and the reception of magnetic field signals is reliable and uncomplicated, it could be realized by geomagnetic sensor on smartphone, without external device. After the study of indoor positioning technologies, choose the geomagnetic field data as fingerprints to design an indoor localization system based on smartphone. A localization algorithm that appropriate geomagnetic matching is designed, and present filtering algorithm and algorithm for coordinate conversion. With the implement of plot geomagnetic fingerprints, the indoor positioning of smartphone without depending on external devices can be achieved. Finally, an indoor positioning system which is based on Android platform is successfully designed, through the experiments, proved the capability and effectiveness of indoor localization algorithm.


Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 651 ◽  
Author(s):  
Han-Sol Kim ◽  
Woojin Seo ◽  
Kwang-Ryul Baek

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