DocumentCode :
1983068
Title :
GPS Single Point Positioning Algorithm Based on Least Squares
Author :
Anhong Tian ; Dechun Dong ; Deqiong Ning ; Chengbiao Fu
Author_Institution :
Dept. of Comput. Sci. & Eng., Qujing Normal Coll., Qujing, China
Volume :
2
fYear :
2013
fDate :
28-29 Oct. 2013
Firstpage :
16
Lastpage :
19
Abstract :
In our daily life, we need to get the accurate location information by GPS(Global Positioning System) receiver, GPS system is based on pseudo-range measurement, and there is four unknown parameter, but the navigation observation equation is nonlinear. The nonlinear equation can be solved by least squares iterative algorithm, the algorithm is based on linearization by Taylor model. The paper gives an overview of nonlinear least squares method, and presents GPS satellite pseudo-range observation equations by true GPS receiver, the simulation results show that weighted least squares iterative algorithm is simple, fast, and accurate, the localization error can meet the demands of positioning accuracy.
Keywords :
Global Positioning System; iterative methods; least squares approximations; linearisation techniques; nonlinear equations; GPS receiver; GPS satellite pseudorange observation equations; GPS single point positioning algorithm; GPS system; Global Positioning System receiver; Taylor model; linearization; localization error; location information; navigation observation equation; nonlinear equation; nonlinear least squares method; positioning accuracy; pseudorange measurement; weighted least squares iterative algorithm; Algorithm design and analysis; Equations; Global Positioning System; Mathematical model; Receivers; Satellites; Signal processing algorithms; GPS; linearization; pseudo-range; weighted least squares iterative algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
Conference_Location :
Hangzhou
Type :
conf
DOI :
10.1109/ISCID.2013.119
Filename :
6804818
Link To Document :
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