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학술대회 K-NN based Positioning Performance Estimation for Fingerprinting Localization
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저자
김주영, 지명인, 전주일, 박상준, 조영수
발행일
201607
출처
International Conference on Ubiquitous and Future Networks (ICUFN) 2016, pp.468-470
DOI
https://dx.doi.org/10.1109/ICUFN.2016.7537073
협약과제
15MC5500, 사용자 참여 기반의 측위 인프라 DB 자동 갱신 기술 개발, 조영수
초록
The positioning system have been paid lots of attention to deal with numerous demands of providing location based services to users. To develop a positioning system, a target accuracy should be defined for reliable services. Though a same system is applied, however, the positioning performance is not always identical since signal environments and structure of indoor areas are different. If a system cannot achieve the target accuracy, the system and environments should be re-examined to find out a solution to meet the accuracy. As a result, additional costs are required to establish a positioning system soundly operable in broad areas. To reduce the cost, in this paper, a system for positioning performance estimation is addressed, especially for fingerprinting positioning system. The proposed system measures signal distances between location fingerprints constituting a radio-map to evaluate the similarity between the signal patterns. Ambiguous patterns bring larger positioning errors when signal fluctuations are introduced; therefore, by calculating the similarity the performance it gives an evidence to estimate degree of positioning errors. The experimental results in subway stations in Seoul, Korea, verify the feasibility of the proposed system.
키워드
Fingerprint, K-NN, Positioning performance
KSP 제안 키워드
Fingerprinting Localization, Fingerprinting positioning, Location fingerprint, Location-Based Services, Performance Estimation, Positioning errors, Radio Map, Target accuracy, k-nearest neighbors(KNN), positioning system, system measures