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

fYear

2014

fDate

16-18 June 2014

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on

Conference_Location

Gdansk

Print_ISBN

978-617-607-553-0

Type

conf

DOI

10.1109/MIKON.2014.6899970

Filename

6899970