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Adaptive Parameter Estimation Method for Wireless Localization Using RSSI Measurements
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 Title & Authors
Adaptive Parameter Estimation Method for Wireless Localization Using RSSI Measurements
Cho, Hyun-Hun; Lee, Rak-Hee; Park, Joon-Goo;
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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.
Received signal strength indicator;Attenuation log model;Adaptive parameter estimation;
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Improved Wi-Fi RSSI Measurement for Indoor Localization, IEEE Sensors Journal, 2017, 17, 7, 2224  crossref(new windwow)
An RSSI-based localization algorithm for outliers suppression in wireless sensor networks, Wireless Networks, 2015, 21, 8, 2561  crossref(new windwow)
Multitarget Tracking by Particle Filtering Based on RSS Measurement in Wireless Sensor Networks, International Journal of Distributed Sensor Networks, 2015, 11, 5, 837070  crossref(new windwow)
N. Patwari, R. J. O'Dea, and Y. Wang, "Relative location in wireless networks," Proc. IEEE VTC, vol.2, 2001, p.1149-1153.

C.B. Lim, S.H. Kang, H.H. Cho, S.W. Park, and J.G. Park, "An Enhanced Indoor Localization Algorithm Based on IEEE 802.11 WLAN Using RSSI and Multiple Parameters," IEEE ICSNC, Aug. 2010, p.238.

Stephan Schuhmann, Klaus Herrmann, Kurt Rothermel, Jan Blumenthal, and Dirk Timmermann, "Improved Weighted Centroid Localization in Smart Ubiquitous Environments," Ubiquitous Intelligence and Computing, 2008.

Altreyi Bose and Chuan Heng Foh, "A Practical Path Loss Model For Indoor WiFi Positioning Enhancement," IEEE ICICS, 2007

K. Tateishi and T. Ikegami, "Estimation Method of Attenuation Offset During Localization in RSSI," IS Communication and Information Technologies, 2008, p. 482-487.

K. Tateishi, Y. Sugiyama, K. Watanabe, and T. Ikegami, "An examination no Location Estimation to Consider Statistics of RSSI," Proc. ICICE General Conf., A-21-3, 2007, p.394.

A. Malekpour, T.C.Ling, and W.C.Lim, " Location Determination Using Radio Frequency RSSI and Deterministic Algorithm," IEEE CNSRC, 2008.

S. Saha, K. Chaudhuri, D. Sanghi, and P. Bhagwat, "Location determination of a mobile device using IEEE 802.11b access point signals," Proc. IEEE Wireless Communications and Networking Conf., Mar. 2003, pp. 1987- 1992.

Alireza Nafarieh and Jacek Ilow, "A Testbed for Localizing Wireless LAN Devices Using Received Signal Strength," IEEE CNSRC, 2008.

Y. Wang, X. Jia, H.K. Lee, and G. Y. Li, "An indoor wireless positioning system based on wireless local area network", Proceedings of The 6th International Symposium on Satellite Navigation Technology Including Mobile Positioning & Location Services, Melbourne, Australia, July 2003, paper 54.

H.K. Lee, H.S. Kim, and J.J. Choi, "Modeling Heterogeneous Signal Strength Characteristics for Flexible WLAN Indoor Localization," Proceedings of ICROS-SICE International Joint Conference, Aug. 18-21, Fukuoka, 2009.