Experimental study on GPS non-linear least squares positioning algorithm

Xiaojing Du*, Li Liu, Huaijian Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

The paper gives an overview of non-linear least square method, and presents GPS satellite pseudorange observation equations, which are usually over-determined because there are only 4 unknowns but normally more than 4 satellites being tracked, resulting in more than 4 pseudorange observation equations. Non-linear least squares(NLS) algorithm to solve pseudorange observation equations in order to find position and clock bias solutions are described in detail. There are three tests designed, one vehicle field test and two simulation tests. There are three NovAtel made GPS receivers being used in vehicle field test, while GSS6560 GPS satellite signal generator being used in simulation tests. By employing a set of differential GPS receivers, it is possible to establish rover station receiver to give a relatively high accurate reference to be compared by NLS and another GPS receiver in the vehicle field test. Results from NLS demonstrate that NLS can achieve high accuracy. Experimental study also shows that NLS algorithm possesses similar accuracy level to that of NovAtel Receiver, which represents world leading level.

Original languageEnglish
Title of host publication2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Pages262-265
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 - Changsha, China
Duration: 11 May 201012 May 2010

Publication series

Name2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Volume2

Conference

Conference2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Country/TerritoryChina
CityChangsha
Period11/05/1012/05/10

Keywords

  • Least squares
  • Position
  • Pseudorange
  • Velocity

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