现代雷达2024，Vol.46Issue(6)：1-8,8.DOI:10.16592/j.cnki.1004-7859.2024.06.001
基于多节点策略的雷达智能干扰调制类型识别技术研究
A Study on Radar Intelligent Jamming Modulation Type Classification Based on Multi-node Strategy
王峰 1吴汉峰 1庞春阳1
作者信息
- 1. 河海大学 信息科学与工程学院,江苏 南京 211100
- 折叠
摘要
Abstract
The cognitive radar architecture contributes to enhancing the intelligence of radar anti-jamming technology.Addressing the issue of radar perception of electromagnetic interference in the field of cognitive anti-jamming technology,a multi-node jamming modulation type recognition method based on deep learning is proposed.This method targets various nodes in radar signal process-ing,such as digital beamforming,adaptive sidelobe cancellation,before and after pulse compression,and post-moving target de-tection.The time-frequency plane and range-Doppler plane of multiple nodes are used as joint feature extraction objects for jam-ming signals.A deep learning-based multi-node jamming recognition strategy model is established to improve jamming recognition accuracy in various scenarios.To enhance the extraction capability of jamming features and the training efficiency of the network,the deep learning algorithm for jamming recognition incorporates attention mechanisms and residual networks into the convolutional neural network.This establishes an interference type recognition network structure for multi-node strategies,achieving recognition of various jamming types in different scenarios.Simulation results show that in a single jamming scenario,the proposed algorithm achieves a jamming recognition accuracy of up to 92%at a jamming-to-noise ratio(JNR)of 14 dB.In multiple jamming scenari-os,the proposed algorithm,supported by different node strategies,achieves an accuracy of up to 90%.关键词
认知雷达/卷积神经网络/残差网络/干扰调制类型分类Key words
multi-node strategy/convolutional neural network/ResNet/jamming modulation type classification分类
信息技术与安全科学引用本文复制引用
王峰,吴汉峰,庞春阳..基于多节点策略的雷达智能干扰调制类型识别技术研究[J].现代雷达,2024,46(6):1-8,8.
