2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) 2021
DOI: 10.1109/icccs52626.2021.9449200
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Jamming Mitigation in JRC Systems via Deep Reinforcement Learning and Backscatter-supported Intelligent Deception Strategy

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Cited by 6 publications
(2 citation statements)
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“…The detailed simulation results demonstrated that the technique is more effective. The authors in [102] have devised a framework to manage the tradeoff between radar sensing and data transmission in Joint Radar Communication (JRC) systems. This paper examines an environment with intelligent and reactive jamming attacks.…”
Section: B Ai-based Jamming/security and Interference Managementmentioning
confidence: 99%
“…The detailed simulation results demonstrated that the technique is more effective. The authors in [102] have devised a framework to manage the tradeoff between radar sensing and data transmission in Joint Radar Communication (JRC) systems. This paper examines an environment with intelligent and reactive jamming attacks.…”
Section: B Ai-based Jamming/security and Interference Managementmentioning
confidence: 99%
“…The detailed simulation results demonstrated that the technique is more effective. The authors in [106] have devised a framework to manage the tradeoff between radar sensing and data transmission in Joint Radar Communication (JRC) systems. This paper examines an environment with intelligent and reactive jamming attacks.…”
Section: B Ai-based Jamming/security and Interference Managementmentioning
confidence: 99%