基于多地并行融合的多传感器目标识别信息融合方法  

Multi-points Parallel Information Fusion for Target Recognition of Multi-sensors

作　　者：赵照 吴晓锋 ZHAO Zhao;WU Xiao-feng(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou 363000,China)

机构地区：[1]闽南师范大学数学与统计学院,福建漳州363000

出　　处：《指挥控制与仿真》2020年第2期23-27,共5页Command Control & Simulation

摘　　要：提出了一种多地并行融合的传感器网络目标识别信息融合方法,其中,每个传感器只需要与邻居传感器交换信息。基于D-S证据理论,设计了一种分布式信息融合算法。每个传感器运行该融合算法可在一定的网络拓扑下达到目标识别信息的一致融合结果。实例仿真结果验证了该融合算法的有效性。This paper provides a kind of multi-points parallel information fusion for target recognition of multi-sensors, and each sensor only exchanges information with their neighbors. Based on Dempster-Shafer evidence theory, this paper designs a distributed fusion algorithm, by which each sensor can establish consensus target recognition result under some topologies. Finally, we use simulation to verify the validity of this distributed fusion algorithm.

关 键 词：传感器网络 信息融合 目标识别 分布式融合算法 DS证据理论 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] E911[自动化与计算机技术—控制科学与工程]