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

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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Bibliographic Details
Main Authors: Venkat Roy, Andrea Simonetto, Geert Leus
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
sparsity
kriging
Kalman filter
sensor placement
convex optimization
Online Access:http://www.mdpi.com/1424-8220/18/6/1778

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