Indoor Positioning System Using Wifi Fingerprint

Nld kth se florian gain per zetterberg school of electrical engineering kth royal institute of technology 100 44 stockholm sweden email.

Indoor positioning system using wifi fingerprint. 50 63 68 in b represents signal levels in dbm from three detected aps. Recentadvances and comparisons 467 fig. Position information is an important aspect of a mobile device s context. 3 ips applications include smart building services mobile asset or people tracking 4 ehealth 5 location enabled games and customised advertisements.

Wi fi positioning system wps also abbreviated as wips or wfps is a geolocation system that uses the characteristics of nearby wi fi hotspots and other wireless access points to discover where a device is located. This paper presents. Many businesses and service providers rely on localization services in order to better serve their patrons. In addition the ubiquity of wi fi capable devices makes this approach especially cost effective.

In this project i predict the indoor location of users using wifi fingerprints with a combination of principal component analysis pca and multi label classification using skmultilearn. Wi fi signals can provide rough initial positions and magnetic fields can further improve the positioning accuracies therefore many researchers have tried to combine the two signals for high accuracy indoor localization. We first review advanced localization techniques to achieve higher positioning. Wifi fingerprint indoor positioning system using probability distribution comparison nicolas le dortz supélec département sse 91192 gif sur yvette france email.

Indoor positioning system ips aims at wirelessly locating objects or people inside buildings based on magnetic sensor network or other source of data. Wi fi fingerprint based indoor positioning. A basic system flow and b site map in a wi fi indoor localization system. While gps is widely used to provide location information it does not work well indoors.

The major consumer benefit of indoor positioning is the expansion of location aware mobile computing indoors such as augmented reality store navigation etc. Wi fi and magnetic field fingerprinting have been a hot topic in indoor positioning researches because of their ubiquity and location related features. Wifi fingerprint indoor positioning system using probability distribution comparison abstract. Indoor positioning system aims at locating objects inside buildings wirelessly and have huge benefit for indoor location aware mobile application.

Positioning services are increasingly used for applications such as navigation advertising and social media. To explore this immature system design we choose ujindoorloc database as our data set use pca for feature selection and build prediction models based on decision tree gradient boosting knn and svm respectively. While outdoor navigation based on gps and or cellular systems works well indoor navigation is a much tougher challenge. Indoor positioning systems ips are increasingly needed as part of our daily life as we increasingly spend 87 of our time indoors 1 2 in increasingly more complex three dimensional 3d spaces.