期刊
IEEE TRANSACTIONS ON SIGNAL PROCESSING
卷 64, 期 21, 页码 5672-5681出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2016.2576420
关键词
Correlated noise; compensator; innovation analysis approach; optimal linear estimator; packet dropout
资金
- Natural Science Foundation of China [61174139, 61573132]
- Heilongjiang Province Outstanding Youth Fund [JC201412]
- Chang Jiang Scholar Candidates Program for Provincial Universities in Heilongjiang [2013CJHB005]
- Science and Technology Innovative Research Team in Higher Educational Institutions of Heilongjiang Province [2012TD007]
- Program for High-qualified Talents [Hdtd2010-03]
- Electronic Engineering Province Key Laboratory
This paper is concerned with the optimal estimation problem for discrete-time stochastic systems with finite-step auto- and cross-correlated noises and multiple packet dropouts induced by the unreliable networks. When a packet transmitted from the sensor to the data processing center is lost, its predictor is used as the compensation. The optimal linear estimators including filter, predictor and smoother that depend on the packet arriving rate are proposed in the linear minimum variance sense via an innovative analysis approach. They are computed in terms of the solutions of some auto-and cross-covariance matrices. A tracking system example is given to demonstrate the effectiveness of the proposed algorithms.
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