Anti-jamming Equilibrium Strategy Learning of Frequency Agile Radar based on Monte Carlo Tree Search
Author:
Affiliation:
1. Xidian University,National Key Laboratory of Radar Signal Processing,Xi’an,China
2. The Chinese University of Hong Kong,Shenzhen Research Institude of Big Data,Shenzhen,China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371000/10371001/10371079.pdf?arnumber=10371079
Reference13 articles.
1. Radar active antagonism through deep reinforcement learning: A Way to address the challenge of mainlobe jamming
2. Online Frequency-Agile Strategy for Radar Detection Based on Constrained Combinatorial Non-Stationary Bandit
3. Adaptation of Frequency Hopping Interval for Radar Anti-Jamming Based on Reinforcement Learning
4. Reinforcement Learning for Compressed-Sensing Based Frequency Agile Radar in the Presence of Active Interference
5. Jamming Strategy Optimization through Dual Q-Learning Model against Adaptive Radar
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