一种基于目标运动状态的意图识别方法  

A Method of Intention Assessment Based on Motion State

作　　者：高晓成[1] GAO Xiaocheng(Southwest China Research Institute of Electronic Equipment,Chengdu 610036,China)

机构地区：[1]中国电子科技集团公司第二十九研究所,成都610036

出　　处：《电子信息对抗技术》2025年第2期47-51,共5页Electronic Information Warfare Technology

摘　　要：目标意图识别是态势感知的重要处理环节,准确的目标意图预判可以大幅度提升态势感知能力,并提前采取相应的应对措施。传统意图识别方法需要大量的领域专家知识对各特征进行权重设置,或者结合预设模板进行意图匹配,这两种方式都需要丰富的专家经验,且不具备动态适应能力。提出了基于空中目标运动状态的意图识别方法,结合卡尔曼滤波实时动态估计目标意图。仿真结果表明,此方法能准确估计空中目标意图,且适应性强,对工程应用具有指导意义。Target intention recognition is an important processing step in situational awareness.Accurate target intention prediction can significantly improve situational awareness capabilities and take corresponding response measures in advance.Traditional intent recognition methods require a large amount of domain expert knowledge to set weights for each feature,or combine preset templates for intent matching.Both methods require rich expert experience and do not have dynamic adaptability.A method for intent recognition based on the motion state of aerial targets is proposed,combined with Kalman filtering for real-time dynamic estimation of target intent.The simulation results show that this method can accurately estimate the intention of aerial targets and has strong adaptability,which has guiding significance for engineering applications.

关 键 词：意图识别 运行状态 卡尔曼滤波 态势感知 

分 类 号：TN971.5[电子电信—信号与信息处理]