Cargando…
Tracking by Risky Particle Filtering over Sensor Networks
The system of wireless sensor networks is high of interest due to a large number of demanded applications, such as the Internet of Things (IoT). The positioning of targets is one of crucial problems in wireless sensor networks. Particularly, in this paper, we propose minimax particle filtering (PF)...
Autores principales: | Lim, Jaechan, Park, Hyung-Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308979/ https://www.ncbi.nlm.nih.gov/pubmed/32486378 http://dx.doi.org/10.3390/s20113109 |
Ejemplares similares
-
Distributed Particle Filter for Target Tracking: With Reduced Sensor Communications
por: Ghirmai, Tadesse
Publicado: (2016) -
An Improved Unscented Particle Filter Approach for Multi-Sensor Fusion Target Tracking
por: Luo, Junhai, et al.
Publicado: (2020) -
Modified Particle Filtering Algorithm for Single Acoustic Vector Sensor DOA Tracking
por: Li, Xinbo, et al.
Publicado: (2015) -
Stability Analysis of Multi-Sensor Kalman Filtering over Lossy Networks
por: Gao, Shouwan, et al.
Publicado: (2016) -
Visual tracking in high-dimensional particle filter
por: Liu, Jingjing, et al.
Publicado: (2018)