Advanced indoor localisation based on the Viterbi algorithm and semantic data

Author

Trogh, Jens ; Plets, David ; Martens, Luc ; Joseph, Wout

Author_Institution

Dept. of Inf. Technol., iMinds, Ghent Univ., Ghent, Belgium

fYear

2015

fDate

13-17 April 2015

Firstpage

1

Lastpage

3

Abstract

In this work a real-time indoor localisation system based on the Viterbi algorithm is developed. This Viterbi principle is used in combination with semantic data to improve the accuracy: i.e., the environment of the object that is being tracked and an adjustable maximum speed. The developed algorithm was verified by simulations and with experiments in a building-wide testbed for sensor and WiFi experiments. Compared to a reference algorithm without Viterbi or semantic data, the results indicated a significant improvement: the mean accuracy and standard deviation improved by respectively 26.4% and 63.9%.

Keywords

RSSI; indoor communication; maximum likelihood estimation; real-time systems; wireless LAN; Viterbi algorithm; WiFi experiments; adjustable maximum speed; building-wide testbed; real-time indoor localisation system; semantic data; Accuracy; Algorithm design and analysis; Prediction algorithms; Semantics; Standards; Trajectory; Viterbi algorithm; Indoor Environment; Localisation; Semantic Data; Viterbi Algorithm; Wireless Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation (EuCAP), 2015 9th European Conference on

Conference_Location

Lisbon

Type

conf

Filename

7228173