空天预警研究学报2024，Vol.38Issue(1)：1-5,5.DOI:10.3969/j.issn.2097-180X.2024.01.001
基于宽窄带综合的飞机机型识别方法
Aircraft type recognition method based on wideband and narrowband synthesis
夏勇 1薛娇 2汪振亚 2田西兰2
作者信息
- 1. 中国电子科技集团公司第三十八研究所,合肥 230088||中国科学技术大学,合肥 230026
- 2. 中国电子科技集团公司第三十八研究所,合肥 230088
- 折叠
摘要
Abstract
This paper proposes an aircraft type recognition method based on the fusion of wideband and nar-rowband data to improve the limited fine-grained recognition capability for aircraft targets of traditional sin-gle-modal radar.Firstly,convolutional network is used to mine the local scattering characteristics of wideband one-dimensional range profiles,and then recurrent neural network employed to capture the contextual features of narrowband micro-Doppler signatures at various time points,so as to achieve the purpose of complementary infor-mation.At the same time,an adaptive decision fusion network is designed to handle the imbalance between the two modalities during decision fusion,thus achieving aircraft type recognition.Finally,the simulation data of sev-en types of aircraft targets in wide and narrow bands are used for experimental verification.The simulation results show that the average recognition accuracy of the proposed method is 76.7%,which is over 6.4%higher than that of the traditional methods.关键词
飞机机型识别/宽窄带回波/多模态融合Key words
aircraft type recognition/wideband and narrowband echoes/multimodal fusion分类
信息技术与安全科学引用本文复制引用
夏勇,薛娇,汪振亚,田西兰..基于宽窄带综合的飞机机型识别方法[J].空天预警研究学报,2024,38(1):1-5,5.
