意圖態(tài)勢(shì)雙驅(qū)動(dòng)的數(shù)據(jù)鏈抗干擾通信機(jī)制
中圖分類號(hào):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(duì)抗場(chǎng)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(wàn)變。(剩余18466字)
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- 系統(tǒng)工程與電子技術(shù)
- 2025年06期
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