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作 者:彭圆红 吴晓锋 PENG Yuan-hong;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5期19-24,共6页Command Control & Simulation
基 金:民用航天技术预先研究项目(D010305)。
摘 要:提出了一种无融合中心的分布式多传感器信息融合结构及相应的融合算法。首先,传感器将获得的目标信息发送给其“收信”邻居,同时关联和融合来自“送信”邻居的信息,再将融合后的目标信息发送给其“收信”邻居,如此循环,从而形成一种多地并行融合、去融合中心的分布式融合结构。运用舆情动力学理论,设计了一种离散时间融合算法,并证明当传感器网络为强连通网络或存在一株有向生成树时,即使存在“盲”传感器,该算法也可以使各传感器在短时间内对目标信息达成一致。最后,实验仿真验证了所提融合结构与融合算法的有效性。This paper proposes a distributed multi-sensor information fusion structure without fusion center,and the corresponding fusion algorithm.Based on the fusion structure,each sensor sends the acquired target’s information to its out-neighbors,at the same time,associates and fuses the information from its in-neighbors,and then sends the fused message to its out-neighbors.Through such a cyclic process,a decentralized multi-sensor fusion structure is thus constructed in the way of the multi-point parallel fusion.By means of opinion dynamics,a distributed discrete-time fusion algorithm is then designed.It is proven that all sensors can realize the consensus fusion in a short time by the new distributed fusion scheme if the multi-sensor network is strongly connected or has a directed spanning tree,even though there are the“blind”sensors in the sensor system.Finally,the experimental simulations are illustrated to verify the effectiveness of the proposed fusion scheme and algorithm.
关 键 词:传感器网络 分布式信息融合 一致性 离散时间融合算法
分 类 号:G202[文化科学—传播学] TP212.9[自动化与计算机技术—检测技术与自动化装置]
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