On Kalman Filtering with Fading Wireless Channels Governed by Power Control
World Congress, Volume # 18 | Part# 1
Quevedo, Daniel E.; Ahlen, Anders; Leong, Alex; Dey, Subhrakanti
Digital Object Identifier (DOI)
Control and estimation with data loss; Estimation and filtering; Sensor networks
We study stochastic stability for Kalman filtering over fading wireless channels where variable channel gains are counteracted by the use of power control to alleviate the effects of packet drops. The Kalman filter and the controller are located at a single gateway which acquires data from the wireless sensors. We establish sufficient conditions which ensure that the Kalman filter covariance matrix is exponentially bounded in norm. The conditions obtained are then used to formulate stabilizing optimal power allocation laws which minimize the total sensor power budget. In deriving the optimal power allocation laws, both statistical channel information and full channel information are considered. The effect of system instability on the power budget is also investigated for both these cases.
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