DocumentCode :
3658895
Title :
Real-time indoor positioning system based on RFID Heron-bilateration location estimation and IMU angular-driven navigation reckoning
Author :
Zu-Hao Lai;Chian C. Ho
Author_Institution :
Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin County 64002, Taiwan
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
276
Lastpage :
281
Abstract :
A real-time indoor positioning system is developed, featuring 2 novel perfectly complementary positioning methods: 1) RFID Heron-bilateration location estimation, based on external RFID infrastructure, and 2) IMU angular-driven navigation reckoning, based on internal IMU module. At first, 2 or multiples of 2 active RFID tags as infrastructure landmarks are deployed along surrounding walls in a single indoor space or room. After the infrastructure landmarks are set up, the handheld indoor positioning device begins to connect to the Bluetooth-based RFID reader by pairing with Bluetooth ID of the RFID reader. Then, on the screen of the handheld indoor positioning device, red landmarks on the 2D indoor map represents pre-deployed active RFID tags. When moving, the targeted handheld indoor positioning device keeps estimating the relative location through external RFID infrastructure and keeps reckoning the inertial navigation through internal IMU module. Experimental results show these two proposed positioning methods, RFID Heron-bilateration location estimation and IMU angular-driven navigation reckoning, can cooperatively improve the accuracy and reliability of indoor positioning system further. Finally, the screen of the handheld indoor positioning device can show the location and orientation indications of the targeted user on the 2D indoor map accurately and immediately.
Keywords :
"Estimation","Active RFID tags","Distance measurement","Navigation","Flowcharts","Real-time systems"
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on
Print_ISBN :
978-1-4673-7337-1
Electronic_ISBN :
2326-8239
Type :
conf
DOI :
10.1109/ICCIS.2015.7274586
Filename :
7274586
Link To Document :
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