Title :
A multi-building WiFi-based indoor positioning system
Author :
Gorski, Konrad ; Groth, Mateusz ; Kulas, Lukasz
Author_Institution :
Dept. of Microwave & Antenna Eng., Gdansk Univ. of Technol., Gdansk, Poland
Abstract :
This paper presents the design and realization of multi-building indoor localization system. Designed system bases on WiFi access points infrastructure and consists of server which performs computations of users´ locations. Several test has been performed to present results of localization using static and dynamic k-Nearest Neighbors algorithm, particle filter and Support Vector Machine classifier.
Keywords :
indoor radio; mobility management (mobile radio); particle filtering (numerical methods); support vector machines; wireless LAN; WiFi access point infrastructure; dynamic k-nearest neighbor algorithm; multibuilding WiFi-based indoor positioning system; particle filter; static k-nearest neighbor algorithm; support vector machine classifier; user location; Educational institutions; Floors; Heuristic algorithms; IEEE 802.11 Standards; Particle filters; Training data; KNN; Nearest Neighbour algorithm; SVM classifiler; indoor localization systems; indoor positioning systems; particle filter;
Conference_Titel :
Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on
Conference_Location :
Gdansk
Print_ISBN :
978-617-607-553-0
DOI :
10.1109/MIKON.2014.6899970
