Partial diffusion Kalman filter for communication bandwidth constraints
作者单位：College of AutomationHarbin Engineering University China Academy of Space Technology
会议名称：《第36届中国控制会议》
会议届次：36
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程]
基 金：supported by National Natural Science Foundation(NNSF)of China under Grant 61371173 Natural Science Foundation of Heilongjiang Province under Grant F2016008
关 键 词：sensor networks distributed state estimation partial diffusion Kalman filter
摘 要：In this paper,we propose a novel distributed Kalman filter（KF） over sensor networks using partial diffusion strategy,where each sensor only communicates with its neighbours and individual estimation vectors are partially transmitted to obtain local ones through convex combinations under communication bandwidth *** solution can obtain a trade-off between communications burden and estimation *** results show the effectiveness of our algorithm,and it can obtain similar estimation accuracy with less information exchange when compared with the weighted KF.