Name
Title | ||
|---|---|---|
Centralized Fusion Estimators for Multisensor Systems With Random Sensor Delays, Multiple Packet Dropouts and Uncertain Observations |
Abstract | ||
|---|---|---|
For linear discrete-time stochastic systems measured by multiple sensors, where different sensors are subject to mixed uncertainties of random delays, packet dropouts and/or uncertain observations, the centralized fusion linear optimal estimators in the linear minimum variance sense are presented via the innovation analysis approach, which is a general and useful tool to find the optimal linear estimate. The stability of the proposed estimators is analyzed. A sufficient condition for the existence of the centralized fusion steady-state estimators is given. For a single sensor case, the proposed estimators have the simpler forms and the lower computational cost compared to the existing literature, since a lower dimension parameterized system is constructed and the colored noise is avoided. A simulation example verifies the effectiveness of the proposed estimators. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JSEN.2012.2227995 | Sensors Journal, IEEE |
Keywords | Field | DocType |
sensor fusion,stochastic processes,centralized fusion estimators,centralized fusion linear optimal estimators,centralized fusion steady-state estimators,computational cost,linear discrete-time stochastic systems,multiple packet dropouts,multisensor systems,random sensor delays,uncertain observations,Centralized fusion estimator,multisensor,packet dropout,random delay,uncertain observation | Linear filter,Control theory,Computer science,Network packet,Stochastic process,Filter (signal processing),Filtering problem,Sensor fusion,Covariance matrix,Wireless sensor network | Conference |
Volume | Issue | ISSN |
13 | 4 | 1530-437X |
Citations | PageRank | References |
1 | 0.35 | 8 |
Authors | ||
2 | ||