A Bayesian method for GPS signals delay estimation

Author

Soubielle, J. ; Fijalkow, I. ; Duvaut, P. ; Delabbaye, J.Y. ; Bibaut, A.

Author_Institution

ETIS, ENSEA, Cergy-Pontoise, France

fYear

1998

fDate

8-11 Sept. 1998

Firstpage

1

Lastpage

4

Abstract

In GPS applications, positioning techniques are based on the characteristics of the pseudo-random code autocorrelation function. They don´t take into account the eventuality of multipath propagation. One reflected signal may greatly disturb the measures of the usual Early-Late method. A maximum a posteriori (MAP) estimator is proposed in this study, introducing a multi-path model and prior laws on both amplitude and delay parameters. This method deals with deconvolution of known functions with simple forms. Performance depends on data observation length but they greatly improve results.

Keywords

Bayes methods; Global Positioning System; deconvolution; delay estimation; maximum likelihood estimation; Bayesian method; GPS application; GPS signal delay estimation; MAP estimator; amplitude parameter; data observation length; deconvolution; delay parameter; early-late method; maximum a posteriori estimator; multipath model; multipath propagation; positioning technique; pseudorandom code autocorrelation function; reflected signal; Delay effects; Delay estimation; Estimation; Global Positioning System; Satellites; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO 1998), 9th European

Conference_Location

Rhodes

Print_ISBN

978-960-7620-06-4

Type

conf

Filename

7089543