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一种带随机时延和丢包的分布式多传感器融合估计方法
引用本文:陈红兵,王元鑫,赵国荣,卢建华,廖海涛.一种带随机时延和丢包的分布式多传感器融合估计方法[J].海军航空工程学院学报,2018,33(5):473-478.
作者姓名:陈红兵  王元鑫  赵国荣  卢建华  廖海涛
作者单位:海军驻南京地区航天机电系统军事代表,南京 210006,海军航空大学,山东烟台 264001,海军航空大学,山东烟台 264001,海军航空大学,山东烟台 264001,海军航空大学,山东烟台 264001
摘    要:研究了分布式采样线性系统的最优信息融合问题。其中,传感器信息通过无线网络发送到中心单元,每个传感器的测量值受随机时延甚至丢包的影响,最优传感器融合设计为一个带有缓冲测量值的时变卡尔曼滤波器。进行了算例仿真与分析,表明了融合估计器的有效性。

关 键 词:传感器融合  丢包  随机延迟  远程估计  卡尔曼滤波

A Distributed Multisensor Fusion Estimation Method With Random Delay and Packet Loss
CHEN Hongbing,WANG Yuanxin,ZHAO Guorong,LU Jianhua and LIAO Haitao.A Distributed Multisensor Fusion Estimation Method With Random Delay and Packet Loss[J].Journal of Naval Aeronautical Engineering Institute,2018,33(5):473-478.
Authors:CHEN Hongbing  WANG Yuanxin  ZHAO Guorong  LU Jianhua and LIAO Haitao
Institution:Naval Military Representative Office of Aerospace Electromechanical System in Nanjing Aera, Nanjing, 210006, China,Naval Aviation University, Yantai Shandong 264001, China,Naval Aviation University, Yantai Shandong 264001, China,Naval Aviation University, Yantai Shandong 264001, China and Naval Aviation University, Yantai Shandong 264001, China
Abstract:In this paper, the optimal information fusion for sampled linear systems was studied where the sensors were dis.tributed and measurements were collected to central unit via a wireless network. Every sensor measurement was subject torandom delay or might even be completely lost. The optimal sensor fusion was designed as a time-varying Kalman filterwith bufferized measurements. Finally, the simulation results show the validity of the Fusion estimator.
Keywords:sensor fusion  packet loss  random delay  remote estimation  Kalman filtering
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