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An Indoor Location Estimation Method Selection Algorithm based on environment of moving object  

Jeon, Hyeon-Sig (한밭대학교 정보통신전문대학원 전파공학과)
Yeom, Jin-Young (한밭대학교 정보통신전문대학원 전파공학과)
Park, Hyun-Ju (한밭대학교 전파공학과)
Publication Information
Journal of Internet Computing and Services / v.12, no.2, 2011 , pp. 19-28 More about this Journal
Abstract
Recently, ubiquitous computing and related technologies is more and more growing concern about. Depending on the trend, the moving object recognition and tracking research have been required in order to meet the diverse needs of the user. In the location-based services, one of the most important issues in the indoor environment is to provide location-aware services. In this paper, the effective algorithm to help estimate the position of moving objects in an indoor environment is proposed. We propose an algorithm that combined the existing trilateration measurement and the improved measurement of environmental adaptation scene analysis. The proposed indoor location estimation algorithm use the trilateration measurement when we have enough anchor in the line-of-sight environment. Otherwise that use measurement of environmental adaptation scene analysis. Consequently, the proposed algorithm has been improved the localization accuracy of a moving object as well as was able to reduce complexity of the algorithm.
Keywords
Location Estimation Algorithm; Indoor Environment; Scene Analysis Method; Trilateration(Triangulation); LOS/NLOS Environment;
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Times Cited By KSCI : 1  (Citation Analysis)
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