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Distributed Kalman Filtering
[chapter]
2014
Networked Filtering and Fusion in Wireless Sensor Networks
The Kalman filter provides an efficient means to estimate the state of a linear process, so that it minimizes the mean of the squared estimation error. However, for naturally distributed applications, the construction and tuning of a centralized observer may present difficulties. Therefore, we propose the decomposition of a linear process model into a cascade of simpler subsystems and the use of a Kalman filter to individually estimate the states of these subsystems. Both a theoretical
doi:10.1201/b17667-5
fatcat:m7zdr62rpjforc7l546jfhiyla