DocumentCode :
1705449
Title :
Accuracy enhancement of an indoor ANN-based fingerprinting location system using Kalman filtering
Author :
Outemzabet, Salim ; Nerguizian, Chahé
Author_Institution :
Ecole Polytech. de Montreal, Montreal, QC
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents an accuracy enhancement solution to mobilepsilas location and tracking systems in indoor wireless local area network (WLAN) environments. The enhancement method consists of the Kalman filtering application to an artificial neural network (ANN) based fingerprinting location technique. The application of Kalman filtering has the advantage of using information about the mobilepsilas motion to reduce location errors (caused by the WLAN received signal strength- RSS variations) and to avoid trajectory discontinuities (caused by the static estimation of the ANN-based fingerprinting technique). To process the RSS-based fingeprinting location technique, two ANN-based pattern-matching algorithms have been examined: the generalized regression neural network (GRNN) and the multi-layer perceptron (MLP) and they have been compared to the classic K-nearest neighbors (KNN) method. Experimental results, conducted in a specific in-building environment, showed that the GRNN algorithm performs better than the MLP and KNN algorithms. The application of Kalman filtering to the considered GRNN-based fingerprinting location technique improved the location accuracy of about 22.4 % in terms of location mean error.
Keywords :
Kalman filters; artificial intelligence; indoor radio; neural nets; regression analysis; telecommunication computing; wireless LAN; Kalman filtering; WLAN environment; artificial neural network; classic K-nearest neighbors method; generalized regression neural network; indoor ANN-based fingerprinting location system; indoor wireless local area network; mobile motion; multilayer perceptron; pattern-matching algorithms; received signal strength; static estimation; trajectory discontinuities; Artificial neural networks; Fingerprint recognition; Information filtering; Information filters; Kalman filters; Motion estimation; Multi-layer neural network; Multilayer perceptrons; Neural networks; Wireless LAN; ANN; Fingerprinting Technique; GRNN; Indoor Location and Tracking System; Kalman Filtering; RSS; WLAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
Conference_Location :
Cannes
Print_ISBN :
978-1-4244-2643-0
Electronic_ISBN :
978-1-4244-2644-7
Type :
conf
DOI :
10.1109/PIMRC.2008.4699398
Filename :
4699398
Link To Document :
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