DocumentCode :
1919740
Title :
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
Link To Document :
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