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An improved neural network training algorithm for wi-fi fingerprinting positioning

Esmond Mok and Bernard K. S. Cheung

Article (2013)

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Cite this document: Mok, E. & Cheung, B. K. S. (2013). An improved neural network training algorithm for wi-fi fingerprinting positioning. ISPRS International Journal of Geo-Information, 2(3), p. 854-868. doi:10.3390/ijgi2030854
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Ubiquitous positioning provides continuous positional information in both indoor and outdoor environments for a wide spectrum of location based service (LBS) applications. With the rapid development of the low-cost and high speed data communication, Wi-Fi networks in many metropolitan cities, strength of signals propagated from the Wi-Fi access points (APs) namely received signal strength (RSS) have been cleverly adopted for indoor positioning. In this paper, a Wi-Fi positioning algorithm based on neural network modeling of Wi-Fi signal patterns is proposed. This algorithm is based on the correlation between the initial parameter setting for neural network training and output of the mean square error to obtain better modeling of the nonlinear highly complex Wi-Fi signal power propagation surface. The test results show that this neural network based data processing algorithm can significantly improve the neural network training surface to achieve the highest possible accuracy of the Wi-Fi fingerprinting positioning method.

Uncontrolled Keywords

Indoor positioning; Neural networks; Wi-Fi fingerprinting; Journal/Magazine Article

Open Access document in PolyPublie
Subjects: 2500 Génie électrique et électronique > 2525 Systèmes de télécommunications sans fil
2950 Mathématiques appliquées > 2950 Mathématiques appliquées
2950 Mathématiques appliquées > 2959 Mathématiques des télécommunications
Department: Département de mathématiques et de génie industriel
Research Center: CIRRELT - Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport
Funders: UGC Research Grant
Grant number: BQ-936
Date Deposited: 14 Dec 2018 16:27
Last Modified: 15 Dec 2018 01:20
PolyPublie URL: https://publications.polymtl.ca/3437/
Document issued by the official publisher
Journal Title: ISPRS International Journal of Geo-Information (vol. 2, no. 3)
Publisher: MDPI
Official URL: https://doi.org/10.3390/ijgi2030854


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