上海航天（中英文）2024，Vol.41Issue(6)：14-22,9.DOI:10.19328/j.cnki.2096-8655.2024.06.002
基于遥测信号多模态特征的卫星个体识别方法
Individual Satellite Identification Method Based on Multimodal Features of Telemetry Signals
吕青 1孟京龙 2李诗瑶 2张毅 2刘何帅1
作者信息
- 1. 酒泉卫星发射中心 测控通信联合实验室,甘肃 酒泉 732750
- 2. 西安电子工程大学 电子工程学院,陕西 西安 710071
- 折叠
摘要
Abstract
With the development of aerospace technology,space has become a strategic focus,and the perception of spatial targets is particularly crucial,including the detection of satellite electromagnetic spectra and individual satellite identification.Telemetry signals are common radiation source signals for satellites in orbit,and individual satellite targets can be effectively identified by in-depth analyses on the potential features in their telemetry signals.In this paper,an identification method based on multi-modal fusion is proposed.It combines residual convolutional networks and long short-term memory(LSTM)networks,and can enhance the network's ability to extract and fuse deep features of signal data,significantly improving the identification accuracy.Experimental tests show that the proposed method achieves an average identification accuracy of 92%on the actual data set.This study has guiding significance for the development of satellite individual identification technology,and is expected to promote further research and application in this field.关键词
态势感知/深度学习/空间目标识别/信号特征分析/多模态特征提取Key words
situation awareness/deep-learning/spatial object identification/signal characteristic analysis/multi-modal feature extraction分类
信息技术与安全科学引用本文复制引用
吕青,孟京龙,李诗瑶,张毅,刘何帅..基于遥测信号多模态特征的卫星个体识别方法[J].上海航天（中英文）,2024,41(6):14-22,9.
