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ASME Press Select Proceedings

International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)

Editor
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
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W. B. Hu
W. B. Hu
Wuhan University
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ISBN:
9780791859742
No. of Pages:
656
Publisher:
ASME Press
Publication date:
2011

The target motion is described by the model of discretestate, discrete-time markov chain. According to hospitability map of bathygram, the target's probabilistic state transition matrix is figured out. On the basis of target's initial distribution and state transition matrix, unmanned underwater vehicle continuously estimates and updates the the target's present state, uses a new greedy algorithm to get the optimum searching paths. This new searching method is proved by the results of simulation in the end, and is worthful for the tactics of unmanned underwater vehicle.

Abstract
Keywords
1. Introduction
2. The Definition of Markov Chain
3. The Model of Target's Position Predicition
4. Search Algorithm
5. Simulation
6. Conclusion and Future Work
Acknowledgments
References
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