Bayesian detection and tracking for joint positioning and multipath mitigation in GNSS

Author

Krach, Bernhard ; Lentmaier, Michael ; Robertson, Patrick

Author_Institution

Inst. of Commun. & Navig., German Aerosp. Center DLR, Wessling

fYear

2008

fDate

27-27 March 2008

Firstpage

173

Lastpage

180

Abstract

A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation in global navigation satellite systems is presented, with an underlying process model that is especially designed for dynamic user scenarios and dynamic channel conditions. In order to facilitate efficient integration into receivers it builds upon complexity reduction concepts that previously have been applied within maximum likelihood estimators. To demonstrate its capabilities simulation results are presented.

Keywords

Bayes methods; computational complexity; maximum likelihood estimation; multipath channels; satellite navigation; Bayesian detection; Bayesian tracking; dynamic channel condition; dynamic user scenario; global navigation satellite system; joint positioning; maximum likelihood estimator; multipath mitigation; sequential Bayesian estimation algorithm; Aerodynamics; Bayesian methods; Clocks; Delay estimation; Global Positioning System; Maximum likelihood detection; Maximum likelihood estimation; Multiaccess communication; Parameter estimation; Satellite navigation systems; Bayesian Estimation; Global Navigation Satellite Systems; Multipath Mitigation; Positioning; Signal Parameter Estimation; Synchronization; Time-of-Arrival;

fLanguage

English

Publisher

ieee

Conference_Titel

Positioning, Navigation and Communication, 2008. WPNC 2008. 5th Workshop on

Conference_Location

Hannover

Print_ISBN

978-1-4244-1798-8

Electronic_ISBN

978-1-4244-1799-5

Type

conf

DOI

10.1109/WPNC.2008.4510372

Filename

4510372