An overview of non-centralized Kalman filters
conference paper
The usage of Wireless Sensor Networks (WSNs) for state-estimation has recently gained increasing attention due to its cost effectiveness and feasibility. One of the major challenges of state-estimation via WSNs is the distribution of the centralized state-estimator among the nodes in the network. Significant emphasis has been on developing non-centralized state-estimators considering communication, processing-demand and estimation-error. This survey paper presents different methodologies to obtain non-centralized state-estimators and focuses on the estimation algorithms and their implementation. The temperature distribution of a bar is used as a benchmark to assess the non-centralized state-estimators in terms of estimation-error and communication requirements. © 2008 IEEE.
Topics
TNO Identifier
241062
ISBN
978142442223
Article nr.
No.: 4629588
Source title
17th IEEE International Conference on Control Applications, CCA, 3-5 September 2008, San Antonio, TX, USA. Conference code: 73846
Pages
739-744
Files
To receive the publication files, please send an e-mail request to TNO Repository.