意图态势双驱动的数据链抗干扰通信机制

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中图分类号:TN919 文献标志码:A DOI:10.12305/j.issn.1001-506X.2025.06.33

Abstract:Inresponse to thechallenges of poor anti-jamming effect,weak self-adaptiveability of data link in high dynamic and strong confrontation scenarios,an intent and situation-dual driven anti-jamming communication mechanism for data link networks is proposed.Covering architecture,protocol,and technology,a domain-based hierarchical distributed anti-jamming network architecture is presented,which constructs a crosslayer adaptiveanti-jamming protocol model driven by intent and situation and designs an inteligent anti-jamming decisionalgorithm driven by intent and situation.The multi-domain joint anti-jamming problem ina dynamic jamming environment is modeled asa Markov decision process,and the deep reinforcement learning algorithmis used to solve the time,space,frequency multi-dimensional joint anti-jamming transmision policy.The simulation results show that the network throughput and transmission success rate of the proposed mechanism are improved by 26.7% and 54.5% respectively compared with other methods,and the proposed mechanism significantly improve the anti-jamming transmission performance.

Keywords:data link network;intentand situation-dual driven;anti-jamming communication;dep reinforcement learning

0 引言

在高动态、强对抗场景下,数据链终端的移动性与机动性不断增强,任务需求随之瞬息万变。(剩余18466字)

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