意图态势双驱动的数据链抗干扰通信机制

doi:10.12305/j.issn.1001-506X.2025.06.33

Abstract

Abstract:

In response to the challenges of poor anti-jamming effect, weak self-adaptive ability 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 cross-layer adaptive anti-jamming protocol model driven by intent and situation and designs an intelligent anti-jamming decision algorithm driven by intent and situation. The multi-domain joint anti-jamming problem in a dynamic jamming environment is modeled as a Markov decision process, and the deep reinforcement learning algorithm is used to solve the time, space, frequency multi-dimensional joint anti-jamming transmission 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.

Key words: data link network, intent and situation-dual driven, anti-jamming communication, deep reinforcement learning

CLC Number:

TN919

Shuhan LIU, Tong LI, Fuqiang LI, Chungang YANG. Intent and situation-dual driven anti-jamming communication mechanism for data link[J]. Systems Engineering and Electronics, 2025, 47(6): 2055-2064.

Figures/Tables 10

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References 32

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网络架构	特点	局限性
集中式	适用于小规模网络、决策能力强	易出现单点故障, 不适用于大规模网络
分布式	去中心化, 适用于高动态网络	对同步性能要求高, 设计复杂、资源需求量大
半分布式	更具灵活性和自主性	适用于中等规模网络

技术	抗干扰措施	局限性
频域	直扩、跳频	预先生成扩频参数、共址干扰问题、缺乏灵活性、吞吐量损失等
时域	猝发通信技术	在高频/较高频/超高频频段的实现存在技术难题
空域	自适应天线技术	抗干扰能力有限
速率域	自适应速率控制	当干扰功率足够大, 通信无法进行或仅能以极低的平均吞吐量进行
功率域	自适应功率调整	对硬件要求高

参数	取值	参数	取值
通信节点/个	6	噪声功率谱密度/dBm	-80
干扰模式	扫频/定频/随机/混合干扰	干扰功率集合/mW	[3, 6, 9]
通信频点/个	51	时隙数/个	400
跳频图样库	10	跳频图样切换代价	0.5
发射功率档位	5	发射功率切换代价	0.5
传输速率档位	3	传输速率切换代价	0.5

参数	取值	参数	取值
训练次数	10 000	学习率	0.5
经验池容量	5 000	折扣因子	0.8
批量样本大小	128	探索率初始值	1.0
优化器	Adam	探索率下降速率	0.001

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Intent and situation-dual driven anti-jamming communication mechanism for data link

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