Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCA.2013.6565001 | ICCA |
Keywords | Field | DocType |
kalman filters,stochastic discrete-time system,kalman filter,stochastic systems,stability,stochastic linear systems,independent-and-identically distributed binary process,packet loss,state estimation,encoding,linear coding method,least mean squares methods,random packet loss effect reduction,lossy channel,discrete time systems,state estimation problem,minimum mean square error estimator stability,measurements coding,kalman filtering,iid binary process,time measurement,vectors,stability analysis | Linear combination,Lossy compression,Control theory,Packet loss,Minimum mean square error,Communication channel,Kalman filter,Independent and identically distributed random variables,Mathematics,Estimator | Conference |
Volume | Issue | ISSN |
null | null | 1948-3449 |
ISBN | Citations | PageRank |
978-1-4673-4707-5 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianju Sui | 1 | 23 | 5.14 |
| Keyou You | 2 | 831 | 50.16 |
| Minyue Fu | 3 | 1878 | 221.17 |