控制理论与应用2012，Vol.29Issue(12)：1645-1650,6.
传感器网络一致性分布式滤波算法
Consensus-based distributed filtering algorithm in sensor networks
摘要
Abstract
To improve the estimation performances in distributed sensor networks, we propose a filtering algorithm based on state prediction consensus. On the basis of the consistent treatment of the local estimate, it updates the local predicted value by using the previous estimates of neighbors to improve the estimation accuracy. We propose a method for choosing the consensus gain, and present, by using the Lyapunov method, a sufficient condition for the convergence of the algorithm. Factors which may affect the convergence rate are discussed. A numerical example is given to illustrate the usefulness of the proposed algorithm. Nodes with high degrees play an important role in the filtering. By adjusting consensus coefficients of these nodes, we can improve estimation performances.关键词
一致性算法/卡尔曼滤波/传感器网络/分布式估计Key words
consensus algorithm/ Kalman filtering/ sensor network/ distributed estimation分类
信息技术与安全科学引用本文复制引用
王长城,戚国庆,李银伢,盛安冬..传感器网络一致性分布式滤波算法[J].控制理论与应用,2012,29(12):1645-1650,6.基金项目
国家目然科学基金资助项目(61104186). （61104186）
