Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.

In this paper, we efficiently solve the maximum-likelihood (ML) time-delay estimation problem for GNSS signals in a multipath environment. Exploiting the GNSS signal model structure and the spreading code periodicity, we develop an efficient implementation of the Newton iterative likelihoodmaximizat...

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Main Authors: Sahmoudi, M., Amin, M. G.
Format: Villanova Faculty Authorship
Language:English
Published: 2008
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173300
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spelling Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
Sahmoudi, M.
Amin, M. G.
In this paper, we efficiently solve the maximum-likelihood (ML) time-delay estimation problem for GNSS signals in a multipath environment. Exploiting the GNSS signal model structure and the spreading code periodicity, we develop an efficient implementation of the Newton iterative likelihoodmaximization method by finding simple analytical expressions for the first and second derivatives of the likelihood function. The proposed Fast Iterative ML Algorithm (FIMLA) for timedelay estimation is shown to be an attractive technique for mitigation of closely-spaced multipath for current GPS receivers as well as future modernized GPS and the European Galileo systems based on BOC signals. Simulation results show that FIMLA improves the performance of the ML synchronization algorithm in presence of multipath.
2008
Villanova Faculty Authorship
vudl:173300
IEEE Transactions on Wireless Communications, October, 2008.
en
dc.title_txt_mv Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
dc.creator_txt_mv Sahmoudi, M.
Amin, M. G.
dc.description_txt_mv In this paper, we efficiently solve the maximum-likelihood (ML) time-delay estimation problem for GNSS signals in a multipath environment. Exploiting the GNSS signal model structure and the spreading code periodicity, we develop an efficient implementation of the Newton iterative likelihoodmaximization method by finding simple analytical expressions for the first and second derivatives of the likelihood function. The proposed Fast Iterative ML Algorithm (FIMLA) for timedelay estimation is shown to be an attractive technique for mitigation of closely-spaced multipath for current GPS receivers as well as future modernized GPS and the European Galileo systems based on BOC signals. Simulation results show that FIMLA improves the performance of the ML synchronization algorithm in presence of multipath.
dc.date_txt_mv 2008
dc.format_txt_mv Villanova Faculty Authorship
dc.identifier_txt_mv vudl:173300
dc.source_txt_mv IEEE Transactions on Wireless Communications, October, 2008.
dc.language_txt_mv en
author Sahmoudi, M.
Amin, M. G.
spellingShingle Sahmoudi, M.
Amin, M. G.
Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
author_facet Sahmoudi, M.
Amin, M. G.
dc_source_str_mv IEEE Transactions on Wireless Communications, October, 2008.
format Villanova Faculty Authorship
author_sort Sahmoudi, M.
dc_date_str 2008
dc_title_str Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
description In this paper, we efficiently solve the maximum-likelihood (ML) time-delay estimation problem for GNSS signals in a multipath environment. Exploiting the GNSS signal model structure and the spreading code periodicity, we develop an efficient implementation of the Newton iterative likelihoodmaximization method by finding simple analytical expressions for the first and second derivatives of the likelihood function. The proposed Fast Iterative ML Algorithm (FIMLA) for timedelay estimation is shown to be an attractive technique for mitigation of closely-spaced multipath for current GPS receivers as well as future modernized GPS and the European Galileo systems based on BOC signals. Simulation results show that FIMLA improves the performance of the ML synchronization algorithm in presence of multipath.
title Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title_full Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title_fullStr Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title_full_unstemmed Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title_short Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title_sort fast iterative maximum-likelihood algorithm (fimla) for multipath mitigation in next generation of gnss receivers.
publishDate 2008
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language English
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