Title | ||
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Modeling vessel kinematics using a stochastic mean-reverting process for long-term prediction. |
Abstract | ||
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We present a novel method for predicting long-term target states based on mean-reverting stochastic processes. We use the Ornstein-Uhlenbeck (OU) process, leading to a revised target state equation and to a time scaling law for the related uncertainty that in the long term is shown to be orders of magnitude lower than under the nearly constant velocity (NCV) assumption. In support of the proposed ... |
Year | DOI | Venue |
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2016 | 10.1109/TAES.2016.150596 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Mathematical model,Predictive models,Trajectory,Uncertainty,Stochastic processes,Target tracking | Applied mathematics,Equation of state,Orders of magnitude (numbers),Mathematical optimization,Kinematics,Long-term prediction,Control theory,Stochastic process,Time scaling,Mean reversion,Mathematics,Trajectory | Journal |
Volume | Issue | ISSN |
52 | 5 | 0018-9251 |
Citations | PageRank | References |
9 | 0.82 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leonardo M. Millefiori | 1 | 39 | 8.46 |
Paolo Braca | 2 | 467 | 46.44 |
Karna Bryan | 3 | 107 | 6.94 |
Peter Willett | 4 | 1962 | 224.14 |