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http://dx.doi.org/10.9708/jksci.2012.17.6.173

FingerPrint building method using Splite-tree based on Indoor Environment  

Shin, Soong-Sun (Dept. of Computer Science, Inha University)
Kim, Gyoung-Bae (Dept. of Computer Education, Seowon University)
Bae, Hae-Young (Dept. of Computer Science, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.6, 2012 , pp. 173-182 More about this Journal
Abstract
A recent advance in smart phones is increasing utilization of location information. Existing positioning system was using GPS location for positioning. However, the GPS cannot be used indoors, if GPS location has an incorrectly problem. In order to solve indoor positioning problems of indoor location-based positioning techniques have been investigated. There are a variety of techniques based on indoor positioning techniques like as RFID, UWB, WLAN, etc. But WLAN location positioning techniques take advantage the bond in real life. WLAN indoor positioning techniques have a two kind of method that is centroid and fingerprint method. Among them, the fingerprint technique is commonly used because of the high accuracy. In order to use fingerprinting techniques make a WLAN signal map building that is need to lot of resource. In this paper, we try to solve this problem in an Indoor environment for WLAN-based fingerprint of a virtual building technique, which is proposed. Proposed technique is classified Cell environment in existed Indoor environment, all of fingerprint points are shown virtual grid map in each Cell. Its method can make fingerprint grid map very quickly using estimate virtual signal value. Also built signal value can take different value depending of the real estimate value. To solve this problem using a calibration technique for the Splite-tree is proposed. Through calibration technique that improves the accuracy for short period of time. It also is improved overall accuracy using predicted value of around position in cell.
Keywords
Indoor; Fingerprint Method; Virtual Grid; Splite-tree; Cell Space;
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Times Cited By KSCI : 1  (Citation Analysis)
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