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Published December 2009 | public
Journal Article

Kalman filtering over wireless fading channels—How to handle packet drop

Abstract

In this paper we consider estimation of dynamical systems over wireless fading communication channels using a Kalman filter. We show the impact of the stochastic communication noise on the estimation process. We furthermore show how noisy packets should be handled in the receiver. More specifically, we illustrate the impact of the availability of a cross-layer information path on the optimum receiver design. In the absence of a cross-layer information path, it was shown that packet drop should be designed to balance information loss and communication noise in order to optimize the performance. In the presence of a cross-layer path, we show that keeping all the packets will minimize the average estimation error covariance. We also derive the stability condition in the presence of noisy packets and show that it is independent of the shape of the communication noise variance or availability of a cross-layer information path.

Additional Information

© 2008 John Wiley & Sons, Ltd. Received 19 January 2008; Revised 14 August 2008; Accepted 19 September 2008. Published online 11 December 2008 in Wiley InterScience. Part of this work was presented in ACC 2007 and ACC 2005.

Additional details

Created:
August 21, 2023
Modified:
October 19, 2023