舰船电子工程2025，Vol.45Issue(2)：124-128,146,6.DOI:10.3969/j.issn.1672-9730.2025.02.026
面向特定辐射源识别的强关联师生模型
Strong Correlation Teacher-student Model for Specific Emitter Identification
王艺卉 1张志亮 2于轩懿 3徐芹 3郭团奇4
作者信息
- 1. 海军航空大学 烟台 264001||31401部队 烟台 264001
- 2. 海军航空大学 烟台 264001||32151部队 邢台 054000
- 3. 31401部队 烟台 264001
- 4. 92485部队 莱阳 265200
- 折叠
摘要
Abstract
To solve the problems of complex and insufficient high-quality data of specific radiation source recognition network model,a strong correlation teacher-student model for specific radiation source recognition is proposed,which aims to achieve fast and accurate recognition,compress the network model and save computing resources,so as to achieve a balance between recogni-tion accuracy and recognition efficiency.Firstly,the data set is resampled to construct K-fold cross-validation data set to provide maximum data utilization and prevent overfitting.Then,the recognition network model based on ResNet network is improved accord-ing to the role of branch structure in the training process and the prediction process.The idea of grouping convolution is introduced to appropriately add the multi-dimensional feature extraction capability of the network,and the branch structure is removed by structural decoupling and re-parameterization to simplify the convolution kernel composition of the prediction network.Finally,a strong correlation teacher-student model based on knowledge distillation is constructed by using the original network and the simpli-fied network,which realizes the lightweight of the network model while ensuring the rapid and accurate identification of specific ra-diation sources.关键词
特定辐射源识别/交叉验证/知识蒸馏/分组卷积/参数重构Key words
specific emitter identification/cross verification/distillation of knowledge/grouping convolution/parameter re-construction分类
信息技术与安全科学引用本文复制引用
王艺卉,张志亮,于轩懿,徐芹,郭团奇..面向特定辐射源识别的强关联师生模型[J].舰船电子工程,2025,45(2):124-128,146,6.
