The Improvement of Positioning Accuracy with Weighted Least Square Based on SNR

Author

Li, Jizhong ; Wu, Muqing

Author_Institution

Sch. of Math. & Inf. Sci., Qingdao Agric. Univ., Qingdao, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

The accuracy of Global Positioning System (GPS) based point determination in urban environment is mainly corrupted by multipath and signal diffraction. The measured carrier-to-noise-power-density ratio (C/N₀) has proven to be an excellent tool for the estimation of the random errors of the observables. In this paper, a novel weight model which is exponential is proposed and the weight factors are normalized in order to scale the positioning accuracy. The influence of parameters in exponential model to positioning accuracy is carefully analyzed. Then these parameters are determined. As compared to the positioning solution without weight and SIGMA model, the positioning accuracy has evident increase in great bias point. The less the PDOP is, the more accurate the positioning solution.

Keywords

Global Positioning System; least mean squares methods; Global Positioning System; SIGMA model; carrier-to-noise-power-density ratio; exponential model; multipath diffraction; positioning accuracy; random error estimation; signal diffraction; weighted least square method; Base stations; Delay; Diffraction; Global Positioning System; Least squares approximation; Least squares methods; Position measurement; Predictive models; Satellite navigation systems; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5302600

Filename

5302600