Optimal centralized update with multiple local out-of-sequence measurements
IEEE Transactions on Signal Processing
Networked data fusion with packet losses and variable delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Selective fusion of out-of-sequence measurements
Information Fusion
Out-of-sequence measurements fusion for asynchronous multisensor network
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Globally optimal flight path update with adding or removing out-of-sequence measurements
Automatica (Journal of IFAC)
Information fusion strategies and performance bounds in packet-drop networks
Automatica (Journal of IFAC)
Multisensor fusion for linear control systems with asynchronous, Out-Of-Sequence and erroneous data
Automatica (Journal of IFAC)
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
Minimax control for cyber-physical systems under network packet scheduling attacks
Proceedings of the 2nd ACM international conference on High confidence networked systems
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This paper is concerned with optimal filtering in a distributed multiple sensor system with the so-called out-of-sequence measurements (OOSM). Based on best linear unbiased estimation (BLUE) fusion, we present two algorithms for updating with OOSM that are optimal for the information available at the time of update. Different minimum storages of information concerning the occurrence time of OOSMs are given for both algorithms. It is shown by analysis and simulation results that the two proposed algorithms are flexible and simple.