现代防御技术2024，Vol.52Issue(3)：48-54,7.DOI:10.3969/j.issn.1009-086x.2024.03.006
基于PACA的复杂空中目标战术意图识别方法
Tactical Intent Recognition of Complex Air Targets Based on PACA
宋晓程 1冯舒婷 1姜涛 2李陟1
作者信息
- 1. 北京电子工程总体研究所,北京 100854
- 2. 河南大学金明校区人工智能学院,河南开封 475000
- 折叠
摘要
Abstract
In view of the dynamic nature of air target track,time sequence variation and multiple intentions in battlefield,this paper proposes a recognition method based on end-to-end generic attribute learning,which is used as the basic framework of intelligent multi-intention recognition model.By integrating the time sequence features and attribute characteristics of the target track,the unified input coding information is compressed and modified to encapsulate the knowledge and experience of experts as labels,and the commander's thinking mode of wartime situation judgment is learned to eliminate the interference factors brought by its concealment,deception and confrontation,so as to obtain the complex tactical intention of the specific target.Through the simulation experiment,the common multi-classification evaluation system is used to analyze the influence of the end-to-end training method on the results,and the comparison analysis with the relevant methods shows that the proposed algorithm is more effective and valuable for multi-intention recognition,and can be used to support the establishment of the correlation between non-cooperative targets and defense important places in the combat planning system.关键词
意图识别/时序特征/多标签分类/空中目标/面向多标签分类的端到端类属属性学习/航迹序列Key words
tactical intention recognition/temporal features/multi-label classification/air target/end-to-end probabilistic label specific feature learning for multi-label classification(PACA)/track sequence分类
军事科技引用本文复制引用
宋晓程,冯舒婷,姜涛,李陟..基于PACA的复杂空中目标战术意图识别方法[J].现代防御技术,2024,52(3):48-54,7.
