Single Point Positioning with Sequential Least-Squares Filter and Estimated Real-Time Stochastic Model

被引：4

作者：

Wu Yun ^{[1
]}

Guo Jiming ^{[1
]}

机构：

[1] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China

来源：

GEO-SPATIAL INFORMATION SCIENCE | 2008年 / 11卷 / 01期

基金：

中国国家自然科学基金;

关键词：

GPS; single point positioning; functional model; stochastic model; sequential least-square filter;

D O I：

10.1007/s11806-007-0162-5

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

To obtain higher accurate position estimates, the stochastic model is estimated by using residual of observations, hence, the stochastic model describes the noise and bias in measurements more realistically. By using GPS data and broadcast ephemeris, the numerical results indicating the accurate position estimates at sub-meter level are obtainable.

引用

页码：13 / 16

页数：4

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