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Kalman Filtering in Wireless Sensor Networks

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4 Author(s)
Ribeiro, A. ; Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA ; Schizas, I.D. ; Roumeliotis, S. ; Giannakis, G.B.

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:

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