Cargando…
MFAM: Multiple Frequency Adaptive Model-Based Indoor Localization Method
This paper presents MFAM (Multiple Frequency Adaptive Model-based localization method), a novel model-based indoor localization method that is capable of using multiple wireless signal frequencies simultaneously. It utilizes indoor architectural model and physical properties of wireless signal propa...
Autores principales: | Tuta, Jure, Juric, Matjaz B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948609/ https://www.ncbi.nlm.nih.gov/pubmed/29587352 http://dx.doi.org/10.3390/s18040963 |
Ejemplares similares
-
A Self-Adaptive Model-Based Wi-Fi Indoor Localization Method
por: Tuta, Jure, et al.
Publicado: (2016) -
Adaptive Inertial Sensor-Based Step Length Estimation Model
por: Vezočnik, Melanija, et al.
Publicado: (2022) -
Robust Stride Segmentation of Inertial Signals Based on Local Cyclicity Estimation
por: Šprager, Sebastijan, et al.
Publicado: (2018) -
An Ultrasonic Multiple-Access Ranging Core Based on Frequency Shift Keying Towards Indoor Localization
por: Segers, Laurent, et al.
Publicado: (2015) -
Inertial Sensor-Based Step Length Estimation Model by Means of Principal Component Analysis
por: Vezočnik, Melanija, et al.
Publicado: (2021)