Bayesian Time Delay Estimation of GNSS Signals in Dynamic Multipath Environments

A sequential Bayesian estimation algorithm for multipath mitigation is presented, with an underlying movement model that is especially designed for dynamic channel scenarios. In order to facilitate efficient integration into receiver tracking loops, it builds upon complexity reduction concepts that...

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Bibliographic Details
Published inInternational journal of navigation and observation Vol. 2008; no. 1
Main Authors Lentmaier, Michael, Krach, Bernhard, Robertson, Patrick
Format Journal Article
LanguageEnglish
Published New York Hindawi Publishing Corporation 01.01.2008
Hindawi Limited
Subjects
Algorithms
Atoms & subatomic particles
Signal processing
Spread spectrum
Studies
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Summary:A sequential Bayesian estimation algorithm for multipath mitigation is presented, with an underlying movement model that is especially designed for dynamic channel scenarios. In order to facilitate efficient integration into receiver tracking loops, it builds upon complexity reduction concepts that previously have been applied within maximum likelihood (ML) estimators. To demonstrate its capabilities under different GNSS signal conditions, simulation results are presented for both BPSK-modulated and BOC-(1,1) modulated navigation signals.
ISSN:1687-5990
1687-6008
DOI:10.1155/2008/372651