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基于行为意图的海上目标动态威胁评估 被引量:4

Dynamic Threat Assessment of Maritime Targets Based on Behavioral Intent
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摘要 针对目标的动态威胁评估多是融合历史时刻的静态威胁度,忽略了态势要素在时间域内的动态变化导致威胁评估准确率下降的问题,提出基于行为意图的海上目标动态威胁评估方法。该方法利用门控循环单元(GRU)网络的时序信息挖掘能力和表征能力分析历史时刻属性状态的变化识别目标行为意图,将其作为全连接网络的重要输入,以级联的方式将GRU网络的优势与全连接网络的优势结合实现对目标的动态威胁评估。仿真实验结果表明,基于目标行为意图的动态威胁评估结果更准确、更可靠。 Dynamic threat assessment for targets was mostly a static threat degree that integrates historical moments,ignoring the problem that the dynamic change of situational elements in the time domain led to a decrease in the accuracy of threat assessment,a dynamic threat assessment method for maritime targets based on behavioral intent was proposed.This method used the time series information mining ability and characterization ability of GRU network to analyze the change of historical moment attribute state to identify the target behavior intention,as an important input to the fully connected network,combined the advantages of GRU network with the advantages of fully connected network in cascade to realize the dynamic threat assessment of the target.Simulation results showed that the dynamic threat assessment results based on target behavior intent were more accurate and reliable.
作者 杨童瑶 杨风暴 吉琳娜 YANG Tongyao;YANG Fengbao;JI Linna(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
出处 《探测与控制学报》 CSCD 北大核心 2021年第6期84-91,100,共9页 Journal of Detection & Control
关键词 行为意图 威胁评估 动态信息 神经网络 信息融合 behavioral intent threat assessment dynamic information neural networks information fusion
分类号 E919 [军事]
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