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Kalman Filtering in Wireless Sensor Networks

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4 Author(s)
Alejandro Ribeiro ; Department of Electrical and Systems Engineering at the University of Pennsylvania, Philadelphia, PA. ; Ioannis D. Schizas ; Stergios I. Roumeliotis ; Georgios Giannakis

Challenges associated with the scarcity of bandwidth and power in wireless communications have to be addressed. For the state-estimation problems discussed in the paper, observations about a common state are collected by physically distributed terminals. To perform state estimation, wireless sensor networks (WSNs) may share these observations with each other or communicate them to a fusion center for centralized processing. With K vector observations {yk(n)}K k=1 available, the optimal mean squared error (MSE) estimation of the state x(n) for the linear model is accomplished by a Kalman filter.

Published in:

IEEE Control Systems  (Volume:30 ,  Issue: 2 )