Influence of human body on Radio Signal Strength Indicator readings in indoor positioning systems

• Autorzy: Rapiński J. , Zinkiewicz D. , Stanislawek T.
• Języki publikacji: EN

Abstrakty

EN

In this paper the basic assumptions of a Radio Signal Strength Indicator - based fingerprint and the influence of human body on the results are presented. The main focus is put on the influence of the obstruction of line-of-sight between access point and transceiver by a human body. This issue must be corrected in order to gain more accurate and reliable results of the positioning. The mathematical model for correction of this issue is proposed along with some examples. The examples are based on the real measurements made by authors. Presented correction formula allows to minimize the influence of the user - access point direction on the results obtained during fingerprint creation and positioning.

Słowa kluczowe

EN

Radio Signal Strength Indicator; fingerprint; indoor positioning

• Wydawca: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie
• Czasopismo: Technical Sciences / University of Warmia and Mazury in Olsztyn
• Rocznik: 2016
• Tom: nr 19(2)
• Strony: 117--127
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Rapiński J.

• The Faculty of Geodesy, Geospatial and Civil Engineering, University of Warmia and Mazury in Olsztyn

autor

Zinkiewicz D.

• WASAT sp. z o.o., Warszawa

autor

Stanislawek T.

• WASAT sp. z o.o., Warszawa

Bibliografia

• BARDWELL J. 2004. You Believe You Understand What You Think I Said... The Truth About 802.11 Signal And Noise Metrics. A Discussion Clarifying Often-Misused 802.11 WLAN Terminologies. Technical Report.
• CHEFFENA M. 2012. Physical-statistical channel model for signal effect by moving human bodies. EURASIP Journal on Wireless Communications and Networking, 2012: 77. DOI: 10.1186/16871499-2012-77.
• FRIIS H.T. 1946. A Note on a Simple Transmission Formula. Proceedings of the IRE, 34(5): 254-256. DOI: 10.1109/JRPROC.1946.234568.
• GANSEMER S., GROSSMANN U., HAKOBYAN S. 2010. RSSI-based euclidean distance algorithm for indoor positioning adapted for the use in dynamically changing WLAN environments and multi-level buildings. International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, p. 1-6.
• IEEE Standards Association. 2012. IEEE Std 802.11TM-2 2012. https://standards.ieee.org/ findstds/standard/802.11aa-2012.html.
• KUO W.H., CHEN Y.S., JEN G.T., LU T.W. 2010. An intelligent positioning approach: Rssi-based indoor and outdoor localization scheme in zigbee networks. International Conference on Machine Learning and Cybernetics (ICMLC), 6: 2754-2759.
• SHEN X., WANG Z., JIANG P., LIN R., SUN Y. 2005. Connectivity and RSSI based localization scheme for wireless sensor networks. Advances in Intelligent Computing, 3645: 578-587.