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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...

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Detalles Bibliográficos
Autores principales:	Sung, Kwangjae, Lee, Hyung Kyu, Kim, Hwangnam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
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

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