Model-based optimal action selection for Dyna-Q reverberation suppression cognitive sonar

Model-based optimal action selection for Dyna-Q reverberation suppression cognitive sonar

Abstract The Doppler shift of low-speed targets is frequently disturbed by the reverberation Doppler spread clutter under the shallow sea. The clutter is generated by underwater scatterers, which increases the difficulty of Doppler estimation. To solve this problem, a reverberation target resolution...

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Bibliographic Details
Main Authors: Yubin Fu, Xiaochuan Ma, Chao Feng, Xingxuan Pei, Pengzhuo Li
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Dyna-Q-Max-Action
Reinforcement learning
Reverberation Doppler spread clutter
Cognitive sonar
Online Access:https://doi.org/10.1186/s13634-023-01054-7

Internet

https://doi.org/10.1186/s13634-023-01054-7

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