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An on-line modeling based Kalman filtering process for time-interval-variable sequences with application to astronomic surveying

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3 Author(s)
Jianguo, Han ; School of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P. R. China ; Caihong, Sun ; Yanqin, Li

The problem of variable sampling time interval which appears in application of Kalman Filtering is analyzed and the corresponding filtering process with or without present transition matrix is suggested, then an application experiment for astronomical surveying is introduced. In this process, the known stochastically variable sampling time intervals play the roles as deterministic input sequences of the state-space description, and the corresponding matrix and (if needed) state transition matrix can be established by performing real-time and structure-linear system identification.

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Systems Engineering and Electronics, Journal of  (Volume:14 ,  Issue: 2 )