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基于最小二乘滤波和实时估计随机模型的GPS单点定位(英文)
引用本文:吴云,郭际明.基于最小二乘滤波和实时估计随机模型的GPS单点定位(英文)[J].地球空间信息科学学报,2008,11(1):13-16.
作者姓名:吴云  郭际明
作者单位:School of Geodesy and Geomatics Wuhan University,129 Luoyu Road Wuhan 430079 China.
基金项目:the National 863 Program of China (No.2006AA12Z325),the National Natural Science Foundation of China (No.40274005)
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.

关 键 词:最小二乘滤波  实时估计  随机模型  GPS单点定位
收稿时间:17 January 2006

Single point positioning with sequential least-squares filter and estimated real-time stochastic model
Yun?Wu,Jiming?Guo.Single point positioning with sequential least-squares filter and estimated real-time stochastic model[J].Geo-Spatial Information Science,2008,11(1):13-16.
Authors:Yun Wu  Jiming Guo
Institution:(1) School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China
Abstract: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.
Keywords:GPS  single point positioning  functional model  stochastic model  sequential least-square filter
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