| Autor: |
Angley, Daniel, Ristic, Branko, Suvorova, Sofia, Moran, Bill, Fletcher, Fiona, Gaetjens, Han, Simakov, Sergey |
| Předmět: |
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| Zdroj: |
IET Radar, Sonar & Navigation (Wiley-Blackwell); 2017, Vol. 11 Issue 12, p1770-1775, 6p |
| Abstrakt: |
Sonobuoy fields, consisting of many distributed emitter and receiver sonar sensors on buoys, are used to seek and track underwater targets in a defined search area. The authors seek a scheduling protocol, selecting both the emitter and its waveform in each time interval that optimises tracking performance. This study describes a stationary scheduling algorithm for sonobuoy fields called the continuous probability states algorithm. The algorithm replaces a full partially observed Markov decision process by a computationally feasible Markov decision process by focusing on probability of target detection. This approach is shown to result in high-quality tracks for multiple targets in a realistic simulation of a sonobuoy field. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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