<  Back to the Polytechnique Montréal portal

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

Esmond Mok, Bernard K. S. Cheung

Article (2013)

Open Acess document in PolyPublie and at official publisher
[img]
Preview
Open Access to the full text of this document
Published Version
Terms of Use: Creative Commons Attribution
Download (407kB)
Show abstract
Hide abstract

Abstract

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

Subjects: 2500 Electrical and electronic engineering > 2525 Wireless communication systems
2950 Applied mathematics > 2950 Applied mathematics
2950 Applied mathematics > 2959 Mathematics of communications
Department: Department of Mathematics and Industrial Engineering
Research Center: CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
Funders: UGC Research Grant
Grant number: BQ-936
PolyPublie URL: https://publications.polymtl.ca/3437/
Journal Title: ISPRS International Journal of Geo-Information (vol. 2, no. 3)
Publisher: MDPI
DOI: 10.3390/ijgi2030854
Official URL: https://doi.org/10.3390/ijgi2030854
Date Deposited: 14 Dec 2018 16:27
Last Modified: 09 Nov 2022 15:20
Cite in APA 7: 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), 854-868. https://doi.org/10.3390/ijgi2030854

Statistics

Total downloads

Downloads per month in the last year

Origin of downloads

Dimensions

Repository Staff Only

View Item View Item