Cargando…
Outlier Detection in GNSS Pseudo-Range/Doppler Measurements for Robust Localization
In urban areas or space-constrained environments with obstacles, vehicle localization using Global Navigation Satellite System (GNSS) data is hindered by Non-Line Of Sight (NLOS) and multipath receptions. These phenomena induce faulty data that disrupt the precise localization of the GNSS receiver....
Autores principales: | Zair, Salim, Le Hégarat-Mascle, Sylvie, Seignez, Emmanuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851094/ https://www.ncbi.nlm.nih.gov/pubmed/27110796 http://dx.doi.org/10.3390/s16040580 |
Ejemplares similares
-
Thin Structures Segmentation Using Anisotropic Neighborhoods
por: Ribal, Christophe, et al.
Publicado: (2020) -
Augmenting Deep Learning Performance in an Evidential Multiple Classifier System
por: Vandoni, Jennifer, et al.
Publicado: (2019) -
Specific Direction-Based Outlier Detection Approach for GNSS Vector Networks
por: Nie, Yufeng, et al.
Publicado: (2019) -
Anti-Spoofing Method for Improving GNSS Security by Jointly Monitoring Pseudo-Range Difference and Pseudo-Range Sum Sequence Linearity
por: Zhang, Xinran, et al.
Publicado: (2023) -
A Robust, Non-Cooperative Localization Algorithm in the Presence of Outlier Measurements in Ocean Sensor Networks
por: Mei, Xiaojun, et al.
Publicado: (2019)