Abstract
There are Location Based Service (LBS) localization techniques such as Global Positioning System (GPS), Angle of Arrival (AOA) and Time Difference of Arrival (TDOA). To use these methods it should be guaranteed that received signals propagate through a Line-of-Sight (LoS) path. Fingerprinting methods have appeared to perform better in None Line-of-Sight (NLoS) environment. But these also have a problem in the dynamic environment where moving obstructions disrupt the signal propagation. To solve these problems we propose a method and algorithm. Tags are mapped to geographical coordinates and deployed on the ceiling with grid spacing. RFID reader is equipped on the target moving object and obtains the information from the tags on the ceiling. And it sends to location engine. The location engine can determine the location of the target object via the collected tags set with proposed Onion Skin Location Determination (OSLE) algorithm.
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Kim, G., Hong, B. (2009). RFID-Based Onion Skin Location Estimation Technique in Indoor Environment. In: Ślęzak, D., Kim, Th., Yau, S.S., Gervasi, O., Kang, BH. (eds) Grid and Distributed Computing. GDC 2009. Communications in Computer and Information Science, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10549-4_20
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DOI: https://doi.org/10.1007/978-3-642-10549-4_20
Publisher Name: Springer, Berlin, Heidelberg
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