Kalman filtering with intermittent observations using measurements coding

Title: Kalman filtering with intermittent observations using measurements coding
Creator: Sui, Tinaju; You, Keyou; Fu, Minyue
Relation: The 10th IEEE International Conference on Control & Automation (IEEE ICCA 2013). Proceedings of the 10th IEEE International Conference on Control & Automation (IEEE ICCA 2013) (Hangzhou, China 12-14 June, 2013) p. 1127-1132
Publisher Link: http://dx.doi.org/10.1109/ICCA.2013.6565001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2013
Description: This paper studies the state estimation problem of a stochastic discrete-time system over a lossy channel. The packet loss is modeled as an independent and identically distributed (i.i.d.) binary process. To reduce the effect of the random packet losses on the stability of the minimum mean square error estimator, we propose a linear coding method on the measurement of the system. In particular, the linear combination of the current and finite previous measurements is to be transmitted to the estimator over the lossy channel. Some necessary and sufficient conditions for the stability of the estimator are established, and the advantage of the linear coding method is exploited.
Subject: stochastic linear systems; Kalman filter; packet loss; linear coding method; stability
Identifier: http://hdl.handle.net/1959.13/1295129
Identifier: uon:18950
Identifier: ISBN:9781467347082
Language: eng
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