Robust RSSI-based Indoor Positioning System using K-means Clustering and Bayesian Estimation
This work proposes a new indoor positioning system, named KLIP, that uses the K-means clustering algorithm to split the environment into different sets of log-distance propagation models in order to better characterize the indoor environment and further improve the position estimation using Bayes...
| Autor principal: | Pinto, Bráulio Henrique Orion Uchôa Veloso |
|---|---|
| Outros Autores: | http://lattes.cnpq.br/2044598311458637, https://orcid.org/0000-0001-8885-5609 |
| Grau: | Dissertação |
| Idioma: | eng |
| Publicado em: |
Universidade Federal do Amazonas
2021
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| Assuntos: | |
| Acesso em linha: |
https://tede.ufam.edu.br/handle/tede/8374 |