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http://dx.doi.org/10.7737/KMSR.2012.29.2.079

Optimal Fingerprint Data Filtering Model for Location Based Services  

Jung, Jun (아주대학교 산업공학과)
Kim, Jae-Hoon (아주대학교 산업공학과)
Publication Information
Korean Management Science Review / v.29, no.2, 2012 , pp. 79-90 More about this Journal
Abstract
Focusing on the rapid market penetration of smart phones, the importance of LBS (Location Based Service) is drastically increased. However, traditional GPS method has critical weakness caused by limited availability, such as indoor environment. WPS is newly attractive method as a widely applicable positioning method. In WPS, RSSI (Received Signal Strength Indication) data of all Wi-Fi APs (Access Point) are measured and stored into a huge database. The stored RSSI data in database make single radio fingerprint map. By the radio fingerprint map, we can estimate the actual position of target point. The essential factor of radio fingerprint database is data integrity of RSSI. Because of millions of APs in urban area, RSSI measurement data are seriously contaminated. Therefore, we present the unified filtering method for RSSI measurement data. As the results of filtering, we can show the effectiveness of suggested method in practical positioning system of mobile operator.
Keywords
LBS; WPS; Filtering; KNN;
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