An improved hybrid indoor positioning system based on surface tessellation artificial neural network
In indoor environments, accurate location or positioning becomes an essential requirement, driven by the need for autonomous moving devices, or to identify the position of people in large spaces. Single technology schemes which use WiFi and Bluetooth are affected by fading effects as well as by sign...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publication
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87834/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/87834/ https://journals.sagepub.com/doi/full/10.1177/0020294020964242 |
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