An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning
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, streng...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-09-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2220-9964/2/3/854 |
| _version_ | 1818413886433394688 |
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| author | Esmond Mok Bernard K.S. Cheung |
| author_facet | Esmond Mok Bernard K.S. Cheung |
| author_sort | Esmond Mok |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T11:10:20Z |
| format | Article |
| id | doaj.art-339fae9fd3504ecbb72b1cb9574c6a8d |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-14T11:10:20Z |
| publishDate | 2013-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-339fae9fd3504ecbb72b1cb9574c6a8d2022-12-21T23:04:18ZengMDPI AGISPRS International Journal of Geo-Information2220-99642013-09-012385486810.3390/ijgi2030854An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting PositioningEsmond MokBernard K.S. CheungUbiquitous 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.http://www.mdpi.com/2220-9964/2/3/854indoor positioningneural networkWi-Fi fingerprinting |
| spellingShingle | Esmond Mok Bernard K.S. Cheung An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning ISPRS International Journal of Geo-Information indoor positioning neural network Wi-Fi fingerprinting |
| title | An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning |
| title_full | An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning |
| title_fullStr | An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning |
| title_full_unstemmed | An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning |
| title_short | An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning |
| title_sort | improved neural network training algorithm for wi fi fingerprinting positioning |
| topic | indoor positioning neural network Wi-Fi fingerprinting |
| url | http://www.mdpi.com/2220-9964/2/3/854 |
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