An On—Line Modeling Based Kalman Filtering Process for Time—Interval—Variable Sequences with Application to Astronomic Surveying系统工程与电子技术：英文版论文
【题名】：An On—Line Modeling Based Kalman Filtering Process for Time—Interval—Variable Sequences with Application to Astronomic Surveying系统工程与电子技术：英文版论文(An On—Line Modeling Based Kalman Filtering Process for Time—Interval—Variable Sequences with Application to Astronomic SurveyingXiTongGongChengYuDianZiJiShu：YingWenBanLunWen) 【关键词】：卡尔曼滤波器 可变抽样法时间间隔 线性结构系统识别 实时处理 【keywords】：KaErManLvBoQi KeBianChouYangFaShiJianJianGe XianXingJieGouXiTongShiBie ShiShiChuLi 【作者】：HanJianguo,SunCaihong,LiYanqin,      【来源】： 知识词典 【期刊名称】：系统工程与电子技术：英文版(XiTongGongChengYuDianZiJiShu：YingWenBan) 【国际标准刊号】：1004-4132        【国内统一刊号】：11-3018 【作者单位】：[1]SchoolofInformationScienceandTechnology,BeijingUniversityofChemicalTechnology,Beijing100029,P.R.China [2]NationalAstronomicalObservatory,ChineseAcademyofSciences,Beijing100012,P.R.China([1]SchoolofInformationScienceandTechnology,BeijingUniversityofChemicalTechnology,Beijing100029,P.R.China [2]NationalAstronomicalObservatory,ChineseAcademyofSciences,Beijing100012,P.R.China) 【分类号】：N945.14      【页码】：-52-56      【出版年】：2003.2 【下载地址】：下载pdf全文         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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