Statistical analysis with missing data
Statistical analysis with missing data
Tracking and data association
Decentralized filtering with random sampling and delay
Information Sciences—Informatics and Computer Science: An International Journal
Topology control for wireless sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Analysis on packet resequencing for reliable network protocols
Performance Evaluation
Simulation and Analysis of Delay Handling Mechanisms in Sensor Networks
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
Optimal update with out-of-sequence measurements
IEEE Transactions on Signal Processing
Kalman filtering for multiple time-delay systems
Automatica (Journal of IFAC)
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Delayed measurements can create difficulties for discrete time filtering. Different modes of measurement delay can be identified, and a number of procedure have been developed for extend the Kalman filter to handle these different types of delay. A common characteristic of these methods is the policy of always incorporating, or fusing, delayed measurements at the time they finally become available. By means of simulation, we show that similar performance is achieved by various methods. In this paper, we relax the policy of always fusing delayed measurements and explore thresholding techniques that result in delayed measurements being selectively fused. This selection is driven by an assessment of the utility of incorporating delayed measurements. We propose a hypothesis testing procedure for automatically setting this threshold. Using both simulated and real data, we show that selective fusion can reduce computational costs while maintaining near optimal performance.