A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning

With the advancement of multifunctional netted radar systems (NRS), traditional jamming decision-making strategies struggle to adapt to the nonlinear challenges of dynamic electromagnetic countermeasures environments, particularly against multifunctional NRS. To address this, we propose a Multi-agen...

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Bibliographic Details

Published in:	Ain Shams Engineering Journal Vol. 16; no. 11; p. 103672
Main Authors:	Wang, Jieling, Liu, Yanfei, Li, Chao, Yang, Dongdong, Yin, Qingshan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2025 Elsevier
Subjects:	Alternating training Jamming mode adjusting Multi-agent reinforcement learning algorithm Netted Radar System (NRS) Non-cooperative adversarial scenario model Nonlinear problems Multi-agent reinforcement learning algorithm Nonlinear problems Non-cooperative adversarial scenario model Alternating training Jamming mode adjusting Netted Radar System (NRS)
ISSN:	2090-4479
Online Access:	Get full text
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