Bayesian Time Delay Estimation of GNSS Signals in Dynamic Multipath Environments | Zendy

Michael Lentmaier | Zendy; Bernhard Krach | Zendy; Patrick Robertson | Zendy

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Bayesian Time Delay Estimation of GNSS Signals in Dynamic Multipath Environments

Author(s) -

Michael Lentmaier,

Bernhard Krach,

Patrick Robertson

Publication year - 2008

Publication title -

international journal of navigation and observation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.176

H-Index - 18

eISSN - 1687-6008

pISSN - 1687-5990

DOI - 10.1155/2008/372651

Subject(s) - gnss applications , multipath propagation , bayesian probability , computer science , estimation , bayes estimator , real time computing , global positioning system , artificial intelligence , telecommunications , engineering , channel (broadcasting) , systems engineering

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

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