Multi-sensor Optimal Information Fusion Estimation under One-step Random Sensor Delay
Sensor delay and observation uncertainty often randomly occur in modern computer based systems, e.g., when the measurement is transmitted to a remote controller through a network medium. In this paper, multi-sensor fusion estimation weighted by scalars under one-step random sensory delay is studied. According to information fusion criterion weighted by scalars in the linear minimum variance sense, a global optimal state estimator is obtained via fusion of local optimal state estimates for each single sensor subsystem, and it can minimize the effects of the communication network delay. A simulation example is given to show that the precision of the fusion estimation is superior to that based on each single sensor subsystem.
Filter design Fusion weighted by scalars State estimation Random time delay
Rongli Liu Chenglin Wen Jing Hu
Department of Automatic Control University of Hangzhou Dianzi Hangzhou,Zhejiang Province,China Department of Computor and Information Engineering University of Henan Kaifeng Henan Province,China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）