| 引用本文: | 张庆庆，陈彦男，田世纪，董阳阳. 时序增强的协同干扰效果在线评估[J]. 雷达科学与技术, 2026, 24(3): 271-279.[点击复制] |
| ZHANG Qingqing, CHEN Yannan, TIAN Shiji, DONG Yangyang. Online Evaluation of Cooperative Jamming Effectiveness with Temporal Enhancement[J]. Radar Science and Technology, 2026, 24(3): 271-279.[点击复制] |
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| 摘要: |
| 随着空空作战环境中的电磁对抗日趋复杂，协同干扰已成为提升对雷达干扰效能的重要手段。然而，现有方法在协同干扰效果评估方面仍存在一些不足：评估指标多数基于雷达方且评估方法缺少对干扰效果时序动态特性的在线刻画。因此，构建有效的协同干扰效果评估模型仍是亟待解决的问题。针对空空对抗场景，本文提出了一种基于TabNet的静态协同干扰效果在线评估方法，利用雷达抗干扰措施和工作状态转换进行评估拟合。同时，为进一步描述干扰效果的时序演化特性，基于融合距离信息的多阶段干扰效果评估指标，利用时序卷积网络（TCN）实现了时序增强的协同干扰效果拟合。实验结果表明，该方法在不同仿真场景下均具有较高的评估精度，能够为协同干扰效果在线评估问题提供思路与技术支撑。 |
| 关键词: 协同干扰效果评估 时序增强 空空对抗 在线评估 时序卷积网络 |
| DOI：DOI:10.3969/j.issn.1672-2337.2026.03.004 |
| 分类号:TN972 |
| 基金项目: |
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| Online Evaluation of Cooperative Jamming Effectiveness with Temporal Enhancement |
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ZHANG Qingqing, CHEN Yannan, TIAN Shiji, DONG Yangyang
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1. The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China;2. School of Electronic Engineering, Xidian University, Xi’an 710071, China
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| Abstract: |
| With the increasing complexity of electromagnetic confrontation in air-to-air combat environments, cooperative jamming has become an important means to enhance jamming effectiveness against radar. However, the existing methods still have some limitations in the evaluation of cooperative jamming effect. Most evaluation metrics are radar-centric, and the temporal dynamics of jamming effects are not sufficiently captured by existing evaluation approaches. Therefore, it is still an urgent problem to construct an effective evaluation model for cooperative jamming effectiveness. Aiming at the air-to-air confrontation scenarios, this paper proposes a TabNet-based online evaluation method for static cooperative jamming effectiveness, which performs evaluation fitting by leveraging radar anti-jamming measures and operational state conversion. Furthermore, to capture the temporal evolution characteristics of jamming effects, a multi-stage jamming effectiveness evaluation metric fused with distance information is introduced, and a temporal convolutional network （TCN） is employed to achieve temporally enhanced cooperative jamming effectiveness fitting. Experimental results demonstrate that the proposed method achieves high evaluation accuracy in different simulation scenarios, and can provide both conceptual and technical support for online evaluation of cooperative jamming effectiveness. |
| Key words: cooperative jamming effectiveness evaluation temporal enhancement air-to-air combat online evaluation temporal convolutional network |
