Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement

We propose a sensor placement method for spatio-temporal field estimation based on a kriged Kalman filter (KKF) using a network of static or mobile sensors. The developed framework dynamically designs the optimal constellation to place the sensors. We combine the estimation error (for the stationary...

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Detalles Bibliográficos
Autores principales: Roy, Venkat, Simonetto, Andrea, Leus, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021959/
https://www.ncbi.nlm.nih.gov/pubmed/29865172
http://dx.doi.org/10.3390/s18061778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021959/
https://www.ncbi.nlm.nih.gov/pubmed/29865172
http://dx.doi.org/10.3390/s18061778

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