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Pedestrian Positioning Using a Double-Stacked Particle Filter in Indoor Wireless Networks
The indoor pedestrian positioning methods are affected by substantial bias and errors because of the use of cheap microelectromechanical systems (MEMS) devices (e.g., gyroscope and accelerometer) and the users’ movements. Moreover, because radio-frequency (RF) signal values are changed drastically d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766917/ https://www.ncbi.nlm.nih.gov/pubmed/31510099 http://dx.doi.org/10.3390/s19183907 |