지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.6 No.6
- 발행연도
- 2011.11
- 수록면
- 883 - 887 (5page)
이용수
초록· 키워드
오류제보하기
Location-based service (LBS) is becoming an important part of the information technology (IT) business. Localization is a core technology for LBS because LBS is based on the position of each device or user. In case of outdoor, GPS?which is used to determine the position of a moving user ?is the dominant technology. As satellite signal cannot reach indoor, GPS cannot be used in indoor environment. Therefore, research and study about indoor localization technology, which has the same accuracy as an outdoor GPS, is needed for "seamless LBS". For indoor localization, we consider the IEEE802.11 WLAN environment. Generally, received signal strength indicator (RSSI) is used to obtain a specific position of the user under the WLAN environment. RSSI has a characteristic that is decreased over distance. To use RSSI at indoor localization, a mathematical model of RSSI, which reflects its characteristic, is used. However, this RSSI of the mathematical model is different from a real RSSI, which, in reality, has a sensitive parameter that is much affected by the propagation environment. This difference causes the occurrence of localization error. Thus, it is necessary to set a proper RSSI model in order to obtain an accurate localization result. We propose a method in which the parameters of the propagation environment are determined using only RSSI measurements obtained during localization.
목차
Abstract
1. Introduction
2. Attenuation Log Model for Ranging
3. Adaptive Parameter Estimation for Ranging
4. Experimental Results
5. Conclusion
Acknowledgments
References
참고문헌 (11)
참고문헌 신청
N. Patwari / 2001 / Relativelocation in wireless networks / Proc. IEEE VTC :1149~1153
C.B. Lim / 2010 / An Enhanced Indoor Localization AlgorithmBased on IEEE 802.11 WLAN Using RSSI andMultiple Parameters / IEEE ICSNC :238
Stephan Schuhmann / 2008 / Improved Weighted Centroid Localization in SmartUbiquitous Environments / Ubiquitous Intelligenceand Computing
Altreyi Bose / 2007 / A Practical PathLoss Model For Indoor WiFi PositioningEnhancement / IEEE ICICS
K. Tateishi / 2008 / Estimation Method ofAttenuation Offset During Localization in RSSI / ISCommunication and Information Technologies :482~487
C.B. Lim / 2010 / An Enhanced Indoor Localization AlgorithmBased on IEEE 802.11 WLAN Using RSSI andMultiple Parameters / IEEE ICSNC :238
Stephan Schuhmann / 2008 / Improved Weighted Centroid Localization in SmartUbiquitous Environments / Ubiquitous Intelligenceand Computing
Altreyi Bose / 2007 / A Practical PathLoss Model For Indoor WiFi PositioningEnhancement / IEEE ICICS
K. Tateishi / 2008 / Estimation Method ofAttenuation Offset During Localization in RSSI / ISCommunication and Information Technologies :482~487
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