Single Point Positioning with Sequential Least-Squares Filter and Estimated Real-Time Stochastic Model
Single Point Positioning with Sequential Least-Squares Filter and Estimated Real-Time Stochastic Model作者机构:School of Geodesy and Geomatics Wuhan University 129 Luoyu Road Wuhan 430079 China 不详
出 版 物:《Geo-Spatial Information Science》 (地球空间信息科学学报(英文))
年 卷 期:2008年第11卷第1期
页 面:13-16页
核心收录:
学科分类:081802[工学-地球探测与信息技术] 070801[理学-固体地球物理学] 07[理学] 08[工学] 081105[工学-导航、制导与控制] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0804[工学-仪器科学与技术] 0816[工学-测绘科学与技术] 0811[工学-控制科学与工程]
主 题:GPS single point positioning functional model stochastic model sequential least-square filter
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.