Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
V. E. Muhin
V. E. Muhin
National Technical University of Ukraine
Search for other works by this author on:
W. B. Hu
W. B. Hu
Wuhan University
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

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.

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
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal