Czasopismo | PRZEGLĄD ELEKTROTECHNICZNY | Rocznik 2016 - zeszyt 12

Probabilistic methods for determining position using WiFi signal

10.15199/48.2016.12.48

nr katalogowy: 102632
10.15199/48.2016.12.48

W artykule przedstawiono probabilistyczne metody określania położenia za pomocą sygnału WiFi przy wykorzystaniu klasycznego telefonu komórkowego z wbudowanym modułem WiFi. Abstract. In this article we present probabilistic methods to determine the position using the WiFi signal with the use of a classic mobile phone with built-in WiFi. (Probabilistyczne metody określania położenia za pomocą sygnału WiFi). Słowa kluczowe: lokalizacja, wifi, gps, metody probabilistyczne Keywords: localisation, wifi, gps, probabilistic methods Introduction Localizing WiFi signal has become extremely popular over the recent years. The most common method is the use of so-called fingerprinting. To ‘fingerprint’ means to correlate a signal’s strength (RSSI) of the actual position by an observation on the map. This technique is widely used in scientific researches of building a system of object identification. The studies present data analysis carried throughout a survey of fingerprinting the map, defining quality parameters of the signal. To achieve the goal of creating data for analysis, two identical access points emitting a WiFi signal need to be arranged at a predetermined distance. Secondly, the data to create fingerprints is to be taken using a mobile phone equipped with a network card and an application, created for this purpose, collecting data about a signal emitted by the access points. Data collected during the first measurement is used to create the first map of fingerprints. They are identified as so-called reference data owing to which studies are next to be conducted. Subsequent measurements are carried out using the same methods, while data are stored in the database of the fingerprints. This database is used as the basis for data analysis, during which data is compared with the reference ones and measurements are studied. Data is compiled by calculating the[...]

Bibliografia

[1] WicLoc: An indoor localization system based on WiFi fingerprints and crowdsourcing, Jianwei Niu, State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China, Bowei Wang, Long Cheng, Joel J. P. C. Rodrigues, 2015 IEEE International Conference on Communications (ICC), Pages: 3008 - 3013, 2015
[2] WILL: Wireless Indoor Localization without Site Survey, Chenshu Wu, Tsinghua University, Beijing, Zheng Yang, Yunhao Liu, Wei Xi, IEEE Transactions on Parallel and Distributed Systems (Volume: 24 , Issue: 4 ), Pages: 839 - 848, 2015
[3] Gradient-Based Fingerprinting for Indoor Localization and Tracking, Yuanchao Shu State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China, Yinghua Huang, Jiaqi Zhang, Philippe Coué, Peng Cheng, Jiming Chen, Kang G. Shin, IEEE Transactions on Industrial Electronics (Volume:63 , Issue: 4 ), Page: 2424 - 2433, 2016
[4] IEEE-SA -IEEE Get 802 Program - 802.11: Wireless LANs
[web page] http://standards.ieee.org/about/get/802/802.11.html Apr 2016.
[Accessed on 8 Apr. 2016.].
[5] RSSI-Based Bluetooth Indoor Localization, Yixin Wang, Dept. of Comput. Sci., Univ. of Prince Edward Island, Charlottetown, PE, Canada, Qiang Ye, Jie Cheng, Lei Wang, 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Pages: 165 - 171, 2015
[6] Ray tracing supported precision evaluation for GPS indoor positioning, M. Jacob; S. Schon; U. Weinbach; T. Kurner, Positioning, Navigation and Communication, 2009. WPNC 2009. 6th Workshop, Pages: 15-22, 2009
[7] An Android-based Mechanism for Energy Efficient Localization depending on Indoor / Outdoor Context, Nicholas Capurso; Tianyi Song; Wei Cheng; Jiguo Yu; Xiuzhen Cheng, IEEE Internet of Things Journal, Page: 1, 2016
[8] On Hybrid Localization in Half-Open Areas , Geng Li ; Sch. Of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China ; Kaigui Bian ; Yuping Zhao ; Dou Li, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
[9] Particle filter robot localisation through robust fusion of laser, WiFi, compass, and a network of external cameras.Canedo- Rodrıguez, Alvarez-Santos, Regueiro, C., Iglesias, R.,Barro, S.a, Presedo, J. University of Santiago de Compostela, University of A Coruna, 2016

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