DocumentCode :
2190963
Title :
Indoor location finding algorithms for mobile robots carrying passive RFID tags
Author :
Ozyurt, E. ; Aydin, Erdogan ; Yapici, A. Cagri
Author_Institution :
Dept. of Electr. & Electron. Eng., Atilim Univ., Ankara, Turkey
fYear :
2012
fDate :
26-30 March 2012
Firstpage :
3516
Lastpage :
3519
Abstract :
Precise localization of mobile robots is critical issue in military, industrial and show business applications. In the literature, several localization techniques has been proposed, in which reader is carried by the mobile object. But in this study a passive Radio Frequency Identification (RFID) tag is attached to mobile robot and the reader antennas being dispersed around the environment. This novelty protects the mobile robot from an increase of weight and results in saving in battery consumption. Also by this way, an increase in mobile object requires a mere increase in low cost passive RFID tags in the navigation system. We have applied a signal pattern matching algorithm, Weighted Centroid Localization (WCL) and Selective Adaptive Weighted Localization (SAWCL) algorithms to locate the tag via Received Signal Strength Indicator (RSSI) and we compare the results. In this study a pilot application is implemented and a prototype is developed to show the proof of concept of the system.
Keywords :
antennas; indoor radio; mobile robots; radiofrequency identification; SAWCL; battery consumption; indoor location finding; localization techniques; mobile object; mobile robots; passive RFID tags; radiofrequency identification; reader antennas; received signal strength indicator; selective adaptive weighted localization; signal pattern matching algorithm; weighted centroid localization; Antenna measurements; Mobile antennas; Mobile robots; Passive RFID tags; Pattern matching; Indoor Localization; Passive RFID Systems; Pattern Matching; RFID;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (EUCAP), 2012 6th European Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0918-0
Electronic_ISBN :
978-1-4577-0919-7
Type :
conf
DOI :
10.1109/EuCAP.2012.6206440
Filename :
6206440
Link To Document :
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