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- Title
基于POMDP模型的智能雷达干扰决策方法.
- Authors
冯路为; 刘松涛; 徐华志
- Abstract
In order to effectively improve the jamming efficiency and accuracy of intelligent radar with unknown working mode of non partners in complex electromagnetic environment, a jamming decision method based on partially observable Markov decision process (POMDP) is proposed. Firstly, according to the working characteristics of intelligent radar, the POMDP model of intelligent radar countermeasure system is constructed, the nonparametric and sample based belief distribution is used to reflect the agent's cognition of the environment, and the Bayesian filter is used to update the agent's belief in the environment. Then, taking the information entropy as the evaluation criterion, make the jammer choose the jamming style with the largest information entropy and try again and again. Finally, the simulation results are compared with the interference decision-making performance of traditional Q-learning method and empirical decision-making method to verify the superiority of the proposed method. The results show that the proposed method can dynamically select the optimal jamming mode according to the changes of unknown radar state, and realize the jamming decision of intelligent radar faster.
- Subjects
PARTIALLY observable Markov decision processes; RADAR interference; ENTROPY (Information theory); RADAR; EMPIRICAL research
- Publication
Systems Engineering & Electronics, 2023, Vol 45, Issue 9, p2755
- ISSN
1001-506X
- Publication type
Article
- DOI
10.12305/j.issn.1001-506X.2023.09.13