舰船电子工程2025，Vol.45Issue(3)：33-37,71,6.DOI:10.3969/j.issn.1672-9730.2025.03.008
基于轨迹认知的目标智能关联技术
Intelligent Association Technology Based on Trajectory Cognition
摘要
Abstract
The traditional association method based on spatial-temporal location is not suitable for the continuous capture of target data with large differences in multiple means data,as well as for the target's large-scale,long-distance activities.In this pa-per,a target-based intelligent association technology based on trajectory cognition is proposed,which uses a trajectory data comple-tion method based on frequent patterns to fill in the missing data of massive,multi-source target trajectory data.A deep space-time residual network is proposed for time-space analysis,and a target trajectory processing,fusion,and analysis framework based on deep learning is constructed to improve the accuracy of target trajectory association.关键词
智能关联/深度学习/轨迹认知/数据补全/被动侦察Key words
intelligent association/deep learning/trajectory cognition/data completion/passive reconnaissance分类
信息技术与安全科学引用本文复制引用
谢卫..基于轨迹认知的目标智能关联技术[J].舰船电子工程,2025,45(3):33-37,71,6.基金项目
国家自然科学基金项目(编号:U20B2075)资助. （编号:U20B2075）
