Two-Level Robust Weighted Measurement Fusion Kalman Filter over Clustering Sensor Network with Uncertain Noise Variances

摘要：

　　Applying the Lyapunov equation method,this paper presents a robust weighted measurement fusion Kalman filter over clustering sensor network with uncertain noise variances,which can significantly reduce the communicational load and save energy when the number of sensors is very large.Its robust accuracy is equal to that of the global centralized robust Kalman fuser or the two-level centralized Kalman fuser,and is higher than those of each local robust Kalman filter and each local robust weighted measurement Kalman fuser.One simulation example is given to verify its effectiveness and correctness.

关键词： Clustering sensor network Weighted measurement fusion Robust Kalman filter Uncertain noise variance Robust accuracy

作者: Guihuan Nie Peng Zhang Wenjuan Qi Zili Deng

作者单位: Department of Automation,Heilongjiang University,Harbin 150080,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 1-10

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）