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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Veröffentlicht in:	Ain Shams Engineering Journal Jg. 16; H. 11; S. 103672
Hauptverfasser:	Wang, Jieling, Liu, Yanfei, Li, Chao, Yang, Dongdong, Yin, Qingshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2025 Elsevier
Schlagworte:	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-Zugang:	Volltext
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