Overall Design of a Self-adaptive ECM Adversarial Game System Based on Q-learning
HAN Ruming
MA Xiande
GUO Bo
LI Guangqi
Abstract：In order to cope with the new challenges of traditional ECM systems,it is an important approach to build adversari-al intelligent game systems based on artificial intelligence technologies,which can achieve dynamic jamming decision and self-adaptive jamming generation.Based on Q-learning technologies,an adversarial intelligent game system is designed in this pa-per.A simulation and analysis software is developed,based on which the simulations are executed by preset scenarios.The simula-tion results show that the proposed adversarial intelligent game system can complete radar signal reconnaissance,dynamic jamming decision and self-adaptive jamming generation.
Keywords：Q-learningadversarial intelligent gameself-adaptive jamming generation
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 83-86 )