Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/16531| Title: | Neural location detection in wireless networks |
| Authors: | Debono, Carl James Buhagiar, Julian K. |
| Keywords: | Neural networks (Computer science) Kernel functions Wireless communication systems Self-organizing maps |
| Issue Date: | 2004 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Debono, C. J., & Buhagiar, J. K. (2004). Neural location detection in wireless networks. 7th European Conference on Wireless Technology, Amsterdam. 133-136. |
| Abstract: | An innovative solution towards the implementation of wireless location detection using a modified self-organizing map is presented. The network translates the measured cell data of a radio environment onto a neumn hierarchy that is immune to environmental variations. Simulation results demonstrate the network's ability to locate a mobile station within two meters in 94% of the cases. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/16531 |
| ISBN: | 1-58053-991-2 |
| Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Conference paper - Neural location detection in wireless networks.pdf Restricted Access | Neural location detection in wireless networks | 323.74 kB | Adobe PDF | View/Open Request a copy |
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