An On-Line Modeling Based Kalman Filtering Process for Time-Interval-Variable Sequences with Application to Astronomic Surveying

韩建国; 孙才红; 李彦琴

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An On-Line Modeling Based Kalman Filtering Process for Time-Interval-Variable Sequences with Application to Astronomic Surveying

机译：基于在线建模的时间间隔 - 变量序列与天文测量的时间间隔变量序列的基于在线建模

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摘要

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.

机译：分析了在应用Kalman滤波中出现的可变采样时间间隔的问题，并提出了具有或不存在过渡矩阵的相应滤波过程，然后引入了天文测量的应用实验。在该过程中，已知的随机变量采样时间间隔将角色播放为状态空间描述的确定性输入序列，并且可以通过执行实时和结构线性系统来建立相应的矩阵和（如果需要）状态转换矩阵鉴别。

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来源
《系统工程与电子技术（英文版）》 |2003年第2期|52-56|共5页
作者
韩建国; 孙才红; 李彦琴;
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作者单位

School of Information Science and Technology Beijing University of Chemical Technology Beijing 100029 P. R. China;

National Astronomical Observatory Chinese Academy of Sciences Beijing 100012 P. R. China;

National Astronomical Observatory Chinese Academy of Sciences Beijing 100012 P. R. China;

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收录信息中国科学引文数据库(CSCD);
原文格式 PDF
正文语种 chi
中图分类数学;
关键词
Kalman filtering; Variable sampling time interval; Real-time and structure-linear system identification;

机译：卡尔曼滤波;可变采样时间间隔;实时和结构线性系统识别;

An On-Line Modeling Based Kalman Filtering Process for Time-Interval-Variable Sequences with Application to Astronomic Surveying

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