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作 者:Huixia ZHANG Yan LIANG Ying SHI Yuedong WANG Chaoxiong MA Ran WANG
机构地区:[1]School of Automation,Northwestern Polytechnical University,Xi'an 710129,China [2]Key Laboratory of Information Fusion Technology,Ministry of Education,Xi'an 710129,China
出 处:《Chinese Journal of Aeronautics》2024年第9期448-462,共15页中国航空学报(英文版)
基 金:support from the Natural Science Foundation of China (No.61873205)。
摘 要:Analysis of cluster behaviors of the on-coming cluster is an essential measure for high value locations on the battlefield.Unlike target tracking and clustering analysis,cluster behaviors analysis under cluster security requirements remains an open issue,which is a joint analysis of clus-tering,intent reasoning and activity regions.To address this issue,a framework for cluster behav-iors analysis is proposed by incorporating expert knowledge and domain knowledge,and a knowledge-assisted score function with is designed to improve the accuracy of intent reasoning net-work,overcoming the effects of possible knowledge errors.The framework consists of three mod-ules for cluster analysis,intent reasoning and activity region analysis for typical tasks,in which an intent reasoning network is constructed to obtain cluster intents by using a hybrid knowledge and data driven approach.Furthermore,considering the complexity of the battlefield environment,dif-ferent tasks and corresponding activity region optimization functions are designed for cluster activ-ity region analysis,which are vital elements of cluster behaviors analysis.Simulations demonstrate the effectiveness of the proposed cluster behaviors analysis framework.
关 键 词:Cluster analysis Intent reasoning Activity region analysis Cluster behavior Battlefield environment
分 类 号:E91[军事] TP311.13[自动化与计算机技术—计算机软件与理论]
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