期刊
IEEE SENSORS JOURNAL
卷 13, 期 4, 页码 1228-1235出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2012.2227995
关键词
Centralized fusion estimator; multisensor; packet dropout; random delay; uncertain observation
资金
- Natural Science Foundation of China [NSFC-60874062, NSFC-61174139]
- Program for New Century Excellent Talents in University [NCET-10-0133, 1154-NCET-01]
- Program for High-qualified Talents, Province Key Laboratory [Hdtd2010-03]
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.
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