面向移动传感器网络的自适应一致性融合估计方法  

Adaptive Consensus Fusion Estimation for Mobile Sensor Networks

作　　者：王林[1] 张国忠[1] 朱华勇[1] 沈林成[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,长沙410073

出　　处：《上海交通大学学报》2011年第3期383-387,392,共6页Journal of Shanghai Jiaotong University

基　　金：国家重点基础研究发展规划(973)项目(6138101001);国防基础科研项目(A2820080247)

摘　　要：研究了具有时延和通信拓扑变换的移动传感器网络(MSN)分布式融合估计问题.结合无色信息滤波、自适应一致性算法并考虑通信时延而设计的基于自适应一致性的融合结构,提出了一种名为基于自适应一致性的分布式无色信息滤波(AC_DUIF)的分布式融合估计算法.以空中移动传感器网络跟踪移动目标为例,通过仿真验证了所提算法的性能.仿真结果表明,该方法能够在以分布形式提高网络中各节点对目标位置估计精度的同时,保证节点之间的一致性,并具备对网络通信延时的适应能力.To the problem of distributed estimation for mobile sensor networks（MSN）with communication delays and switching network topologies,a novel distributed fusion estimation algorithm,named adaptive consensus based bistributed unscented information filter（AC_DUIF）,was presented.The proposed algorithm was based on unscented information filter,adaptive consensus algorithm,as well as a new fusion framework for the consideration of the communication delays.An application of target tracking using an air mobile sensor networks with dynamically switched network topologies was employed to illustrate the performance of the proposed algorithm.The simulation results show that the proposed method can significantly improve the accuracy of target position estimation of each sensor node in a distributed fashion,when the distributed consensus between each nodes and the adaptability of the communication delays are assured.

关 键 词：移动传感器网络 分布式融合估计 无色信息滤波 自适应一致性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]