融合应用网络中模糊目标计算机制的研究  

Research on Fuzzy Target Computing Mechanism in Fusion Application Network

作　　者：余庚[1,2] YU Geng(School of Guomai Information·School of Internet Economics and Business,Fujian University of Technology,Fuzhou 350007;Fuzhou Institute of Technology,Fuzhou 350506)

机构地区：[1]福建工程学院国脉信息学院.互联网经贸学院,福州350007 [2]福州理工学院,福州350506

出　　处：《舰船电子工程》2019年第2期35-37,共3页Ship Electronic Engineering

基　　金：福建省教育厅中青年教师教育科研项目(编号:JT180334;JAT170802;JAT160623)资助

摘　　要：论文针对融合应用网络中因不可预测的外界因素对信标发起的影响,进而导致其向全局广播伪信息引发了目标计算错误的情形,提出一种目标计算机制。文中首先对目标计算机制进行可行性分析,并结合融合网络目标模糊特征建立计算模型。其次,引入参数用于甄别异常信标和筛查伪数据。然后构建模糊目标计算算法。最后在模拟环境中搭建测试模型,通过调整呼损距离和异常信标规模来考察本文研究算法相对于传统研究的优势。所收集的实验数据表明,模糊目标计算机制对信标性能的偏好度最弱,对模糊目标评估的贡献度最高。In view of the influence of unpredictable external factors on beacon initiation in fusion application networks,which leads to false information broadcast to the whole world,this paper proposes a target computer system.In this paper,the feasibility of the target computing mechanism is analyzed firstly,and the model is established based on the fuzzy features of the fusion network.Secondly,parameters are introduced to identify abnormal beacons and screen false data.Then the fuzzy target calculation algorithm is constructed.Finally,the test model is built in the simulation environment,and the advantages of this algorithm compared with the traditional research are investigated by adjusting the call loss distance and the scale of abnormal beacon.The collected experimental data show that the fuzzy target computer system has the weakest preference for beacon performance and the highest contribution to fuzzy target evaluation.

关 键 词：融合 模糊 计算 优势 测试 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]