通信学报2024，Vol.45Issue(12)：67-82,16.DOI:10.11959/j.issn.1000-436x.2024201
基于相频融合特征的相控阵雷达个体识别
Phased array radar individual recognition based on phase-frequency fusion feature
摘要
Abstract
To solve the problem of phased-array radar individual identification in the complex electromagnetic environ-ment with wide spectrum,heterogeneous waveforms and strong energy,an unintentional modulation feature extraction method based on phase and frequency fusion was proposed for the individual features carried by phased-array radar sig-nals.Considering that the phased array radar signal was difficult to collect,the number of transceiver components was large,and the unintentional modulation features were complex,the phased array radar unintentional modulation signal model was constructed based on the method of wave-position orchestration and isophase surface.Based on the bispec-tral method,the signal bispectral map was obtained and perimeter integration was performed to extract the unintention-ally modulated phase features of the signal.Based on the variational modal decomposition method,the original signal was decomposed to obtain the modal components,and the energy ratio difference of the set of modal components was further computed to extract the unintentionally modulated frequency features of the signal.Finally,the local holding pro-jection method was used to integrate the phase and frequency features,and the K nearest-neighbor classification method was adopted based on the tree retrieval method to realize the individual identification.Representative numerical results are reported,indicating that the proposed method has higher recognition accuracy and efficiency.关键词
相控阵雷达/个体识别/无意调制/融合特征/K近邻Key words
phased array radar/individual identification/unintentional modulation/fusion feature/K-nearest neighbor分类
信息技术与安全科学引用本文复制引用
李保珠,马鲁,李龙辉,洪涛,姜文..基于相频融合特征的相控阵雷达个体识别[J].通信学报,2024,45(12):67-82,16.基金项目
国家自然科学基金资助项目(No.62071347) The National Natural Science Foundation of China(No.62071347) （No.62071347）
