局域网络信息系统特征级开源目标融合仿真

在局域网络信息系统中,信息都储存在开源目标节点上,信息量较少,难以精准的获取以及很难做出正确决策。为了收集更多的开源信息,做出准确判断,提出基于开源目标度量融合框架的局域网络信息系统特征级融合算法。将RMF框架作为特征级开源目标融合策略的理论基础,使上述算法具有可行性和鲁棒性。通过融合运算,使向量融合空间保存大量有效信息,通过特征级开源目标融合后,提高向量维度,以获得较为理想的目标数量和精度。分析仿真结果验证了所提方法的有效性与优越性,说明特征级开源目标融合,可以在局域网络信息系统中获取更多信息量,从而进行精准的决策。

Simulation of Feature Level Open Source Target Fusion in LAN Information System

In LAN information system,the information is stored on the node of open source target.Since less in-formation is required,it is difficult to make correct decisions.In order to collect more open source information and make accurate judgment,this article presented an algorithm for feature-level fusion of LAN information system based on the open source target measurement fusion framework.At first,we took RMF framework as the theoretical basis of integration strategy of feature-level open source target,and thus made the algorithm feasible and robust.Through the fusion computation,we stored a large amount of effective information in the fusion space of vectors.After the feature-level open source targets were fused,the vector dimension was improved,so that we got a better target quantity and precision.After analyzing the simulation results,the effectiveness and superiority of the proposed method are veri-fied.Based on the integration of feature-level open source targets,we can obtain more information from LAN informa-tion system,so as to make accurate decisions.