意圖態(tài)勢雙驅(qū)動(dòng)的數(shù)據(jù)鏈抗干擾通信機(jī)制

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中圖分類號：TN919 文獻(xiàn)標(biāo)志碼：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

在高動(dòng)態(tài)、強(qiáng)對抗場景下，數(shù)據(jù)鏈終端的移動(dòng)性與機(jī)動(dòng)性不斷增強(qiáng)，任務(wù)需求隨之瞬息萬變。（剩余18466字）