On Kalman filtering over fading wireless channels with controlled transmission powers |
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| Authors: | Daniel E Quevedo Anders Ahlén Alex S Leong Subhrakanti Dey |
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| Affiliation: | 1. Department of Automation, Tsinghua University, Beijing, P. R. China;7. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;71. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, United Kingdom |
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| Abstract: | We study stochastic stability of centralized Kalman filtering for linear time-varying systems equipped with wireless sensors. Transmission is over fading channels where variable channel gains are counteracted by power control to alleviate the effects of packet drops. We establish sufficient conditions for the expected value of the Kalman filter covariance matrix to be exponentially bounded in norm. The conditions obtained are then used to formulate stabilizing power control policies which minimize the total sensor power budget. In deriving the optimal power control 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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