Improving anti-jamming decision-making strategies for cognitive radar via multi-agent deep reinforcement learning-Reference-Cited by-同舟云学术

Improving anti-jamming decision-making strategies for cognitive radar via multi-agent deep reinforcement learning

Published:2023-04 Issue: Volume:135 Page:103952
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Jiang Wen^ORCID,Ren Yihui,Wang Yanping

Funder

National Natural Science Foundation of China

Beijing Municipal Commission of Education

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference52 articles.

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3. Game Theory;Fudenberg,1991

4. The MIMO radar and jammer games;Song;IEEE Trans. Signal Process.,2012

5. Equilibrium points in n-person games;Nash;Proc. Natl. Acad. Sci.,1950

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