Title :
ZigBee based indoor localization with particle filter estimation
Author :
Tsuji, Junpei ; Kawamura, Hidenori ; Suzuki, Keiji ; Ikeda, Takashi ; Sashima, Akio ; Kurumatani, Koichi
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
Abstract :
Highly-functional mobile devices, such a smart phone, have appeared. Location based services of the mobile devices are assimilated in a variety of ways. Then, Indoor localization sensor is necessary to access the location based services seamlessly. This paper researched the performance of indoor localization with ZigBee based particle filter. This paper showed this method can localize a resting target within 2.0 meter accuracy and can localize a moving target with an area levels localization. ZigBee based particle filter can be one of some options for location based services in indoor spaces.
Keywords :
indoor radio; mobile radio; particle filtering (numerical methods); personal area networks; position measurement; protocols; sensors; ZigBee based indoor localization; indoor localization sensor; location based service; mobile device; particle filter estimation; Artificial neural networks; Printing; Zigbee; RSSI; ZigBee; finger-printing; localization; particle filter;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642354
