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[ZAZ15] Relevant Parameters selection of CIR Fingerprinting Based Location Algorithm

Conférence Internationale avec comité de lecture : 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2015, September 2015, pp.170 - 173, Split, Croatia, (DOI: 10.1109/SOFTCOM.2015.7314117)

Mots clés: Indoor Localization, Multi-Layer Neural Network (MLNN), Channel Impulse Response (CIR), Gram-Shmidt Orthogonalization.

Résumé: This paper investigates the relevance of Channel Impulse Response (CIR) for fingerprint based localization algorithm. In the considered system, we consider localization in WLAN environment. The Multi-Layer Neural Network (MLNN) learns off-line the location from the location-dependent parameters of the CIR. Then, it calculates on-line the accurate position of a mobile station from given fingerprints. More importantly, an advanced study is conducted to identify the relevant parameters of CIR to be used as fingerprints which offer lower complexity and high location accuracy.

Collaboration: 6'Tel

BibTeX

@inproceedings {
ZAZ15,
title="{Relevant Parameters selection of CIR Fingerprinting Based Location Algorithm}",
author=" R. Zouari and I. Ahriz and R. ZAYANI and A. Dziri and R. Bouallegue ",
booktitle="{23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2015}",
year=2015,
edition="16-18 Sept. 2015",
month="September",
pages="170 - 173",
address="Split, Croatia",
doi="10.1109/SOFTCOM.2015.7314117",
}