| 摘要: |
| 协同干扰效果评估结果是衡量协同干扰有效性的直接依据，因此构建科学合理的量化指标集与评估方法具有重要价值。本文提出了一种时序增强的协同干扰效果在线评估方法，通过构建在线评估指标集，利用表格注意力网络（TabNet）深度挖掘雷达参数特征与干扰效果间的非线性映射关系。同时，引入时序卷积网络（Temporal Convolutional Network, TCN）捕获时序演化特征，实现对动态场景下干扰效果评估的时序增强处理。实验结果表明，该方法在混合与同型编队场景下均能准确拟合干扰效果。 |
| 关键词: 干扰效果评估 时序增强 评估指标集 |
| DOI： |
| 分类号:510.70 |
| 基金项目: |
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| Online Evaluation of Cooperative Jamming Effectiveness with Temporal Enhancement |
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| Abstract: |
| The evaluation results of collaborative jamming effects are a direct basis for measuring the effectiveness of collaborative jamming behaviors, so constructing a scientific and reasonable set of quantitative indicators and evaluation methods is of significant value. This paper proposes a time-sequence-enhanced online evaluation method for collaborative jamming effects. By constructing an online evaluation indicator set, it utilizes Tabular Attention Network (TabNet) to deeply explore the nonlinear mapping relationship between radar parameter features and jamming effects. At the same time, a Temporal Convolutional Network (TCN) is introduced to capture temporal evolution features, achieving time-sequence-enhanced processing for evaluating jamming effects in dynamic scenarios. Experimental results show that this method can accurately fit jamming effects in both mixed and homogeneous formation scenarios. |
| Key words: Jamming effectiveness evaluation Temporal enhancement Evaluation indicator set |