摘要
战场情报融合系统抽象为由传感器、融合两类节点经信息链路互连的网络化结构模型,参考信息熵的概念提出态势熵对传感器节点所获取态势信息进行定量计算,将交叉信息融合作为情报融合过程的核心环节,通过协方差修正矩阵解算融合节点的联合态势熵。仿真结果表明:传感器节点扫描频率、融合节点关联信息处理能力是影响系统态势信息质量和融合速率的重要因素;减少信息共享链路能够缩短时延使系统更快获取信息优势。
The battlefield intelligence fusion system is abstracted as a networked structural model composed of two types of nodes:sensor and fusion nodes,which is interconnected by information link.According to entropy,the situation entropy is proposed to quantitatively calculate the situation information obtained by sensor nodes.Cross-information fusion is taken as the core of information fusion process,the joint situation entropy of fusion nodes is calculated by the covariance correction matrix.Simulation results show that scanning frequency of sensor nodes and information processing capability of fusion nodes are important factors affecting the information quality and fusion rate of system situation.Reducing information-sharing links can shorten time delay system and can gain information benefits faster.
作者
李尧
耿伯英
李启元
LI Yao;GENG Bo-ying;LI Qi-yuan(Navy Command College,Nanjing 210016,China;Naval University of Engineering,Wuhan 430033,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第12期56-60,共5页
Fire Control & Command Control
关键词
情报融合系统
网络结构
态势熵
组织结构
intelligence fusion system
network structure
situation entropy
organizational structure
