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RSS FeedsSensors, Vol. 18, Pages 3557: Distributed Field Estimation Using Sensor Networks Based on H? Consensus Filtering (Sensors)

 
 

22 october 2018 17:01:35

 
Sensors, Vol. 18, Pages 3557: Distributed Field Estimation Using Sensor Networks Based on H? Consensus Filtering (Sensors)
 


This paper is concerned with the distributed field estimation problem using a sensor network, and the main purpose is to design a local filter for each sensor node to estimate a spatially-distributed physical process using the measurements of the whole network. The finite element method is employed to discretize the infinite dimensional process, which is described by a partial differential equation, and an approximate finite dimensional linear system is established. Due to the sparsity on the spatial distribution of the source function, the l 1 -regularized H ∞ filtering is introduced to solve the estimation problem, which attempts to provide better performance than the classical centralized Kalman filtering. Finally, a numerical example is provided to demonstrate the effectiveness and applicability of the proposed method.


 
59 viewsCategory: Chemistry, Physics
 
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