Research Prospect of Anti-Jamming Strategy for the Satellite Internet

Chen HAN; Aijun LIU; Kang AN

doi:10.11959/j.issn.2096-8930.2022007

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Research Prospect of Anti-Jamming Strategy for the Satellite Internet

Special Issue: Frontier Technologies of Satellite Internet | 更新时间：2024-06-03

- Research Prospect of Anti-Jamming Strategy for the Satellite Internet
- Space-Integrated-Ground Information Networks Vol. 3, Issue 1, Pages: 50-55(2022)
- 作者机构：
  
  1. 国防科技大学第六十三研究所，江苏南京 210007
  2. 陆军工程大学通信工程学院，江苏南京 210007
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-8930.2022007
  CLC： TP393
- Published Online：2022-03，
  
  Published：20 March 2022
- 稿件说明：
移动端阅览
Chen HAN, Aijun LIU, Kang AN. Research Prospect of Anti-Jamming Strategy for the Satellite Internet[J]. Space-integrated-ground information networks, 2022, 3(1): 50-55.
DOI：

Chen HAN, Aijun LIU, Kang AN. Research Prospect of Anti-Jamming Strategy for the Satellite Internet[J]. Space-integrated-ground information networks, 2022, 3(1): 50-55. DOI： 10.11959/j.issn.2096-8930.2022007.

摘要

卫星互联网作为国家信息化建设的重要基础设施，对维护国家安全具有重要意义。在干扰环境中，卫星互联网仍需保证其数据传输的有效性和可靠性。智能化新型干扰的威胁以及经典链路级抗干扰手段的局限性催生了智能化、网络化抗干扰的新需求。针对卫星互联网的结构特点和现代通信干扰技术的发展趋势，探析智能化、网络化抗干扰的基本架构。智能化抗干扰基于“感知—学习—预测—决策—反馈”的逻辑闭环，进行主动抗干扰决策，以实现自配置和自优化。网络化抗干扰通过各节点之间的协作通信，以拓扑控制重建链路、邻近节点资源重配置、业务流量负载均衡等方式提高网络化抗干扰水平，为构建跨层联合、多域结合、自主智能的抗干扰策略体系提供一定技术支撑。

Abstract

As an important infrastructure of the national information system

the satellite internet is of great signifi cance to the national security.Thus

it needs to ensure the validity and reliability of the data transmission in the hostile jamming environment.The threat of smart jamming and the limitation of classical link-layer anti-jamming methods give rise to the new demand of intelligent and networked antijamming solutions.In view of the structural characteristics of the satellite internet and the development trend of modern communication jamming technologies

this paper analyzed the basic architecture of intelligent and networked anti-jamming.Based on the closed-loop strategic of sense-learn-prediction-decision-feedback

intelligent and active anti-jamming decision was made to realized self-confi guration and self-optimization.Based on the cooperative communication between nodes

networked anti-jamming ability was improved by the means of topology control and reconstruction

adjacent resources reallocation

and traffi c load balancing.It provided certain theoretical support for the construction of anti-jamming strategy system to achieved the cross-layer optimization

multi-domain combination

and adaptive intelligence.

关键词

Keywords

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