第七届信息融合国际会议最佳及提名论文评述  

Review of the Best Paper and One Honorable Mentioned Paper in 7^(th) International Conference on Information Fusion

作　　者：安瑾[1] 丁春山[1] 何佳洲[1] 

机构地区：[1]江苏自动化研究所,连云港222006

出　　处：《舰船电子工程》2005年第4期16-21,共6页Ship Electronic Engineering

摘　　要：2004年第七届信息融合国际学术会议评出了一篇最佳论文,同时另有两篇文章获得最佳论文提名。最佳论文提出了适用于无线传感器网络的融合决策规则;其中一篇提名论文研究TBM(TransferableBeliefModel,TBM)框架下的联合跟踪和分类问题;另一篇则对JDL模型作了新的扩充。将对前两篇文章进行总结和评述。In 2004 7^th International Conference on Information Fusion, one best paper and two honorable mentioned papers were given. In the best paper, a decision fusion rule for a wireless sensor network was proposed . In one honorable mentioned paper, Kalman filter and joint tracking and classification in the TBM framework were studied. In the other honorable mentioned paper,some extensions were made to the JDL data fusion model. This paper will review of the best paper and the former honorable mentioned paper.

关 键 词：无线传感器网络 信号衰减模型 可转化信任模型 目标分类 信任函数理论 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]