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Intermittent Kalman filtering: Eigenvalue cycles and nonuniform sampling

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2 Author(s)
Se Yong Park ; Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley, USA ; Anant Sahai

We develop the concept of an eigenvalue cycle to completely characterize the critical erasure probability for intermittent Kalman filtering. It is also proved that eigenvalue cycles can be easily broken if the original physical system is considered to be continuous-time - randomly-dithered nonuniform sampling of observations makes the critical erasure probability depend only on the dominant eigenvalue, making it almost surely 1/|λmax|2.

Published in:

Proceedings of the 2011 American Control Conference

Date of Conference:

June 29 2011-July 1 2011