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 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.

Main Author: Sahmoudi, M.
Other Authors: Amin, M. G.
Language: English
Published: 2008
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173300
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dc_source_str_mv IEEE Transactions on Wireless Communications, October, 2008.
author Sahmoudi, M.
author_facet_str_mv Sahmoudi, M.
Amin, M. G.
author_or_contributor_facet_str_mv Sahmoudi, M.
Amin, M. G.
author_s Sahmoudi, M.
spellingShingle Sahmoudi, M.
Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
author-letter Sahmoudi, M.
author_sort_str Sahmoudi, M.
author2 Amin, M. G.
author2Str Amin, M. G.
dc_title_str Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
title 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_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.
collection_title_sort_str 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.
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.
publishDate 2008
normalized_sort_date 2008-01-01T00:00:00Z
dc_date_str 2008
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fgs.label Fast iterative maximum-likelihood algorithm (FIMLA) formultipath mitigation in next generation of GNSS receivers.
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dc.title Fast iterative maximum-likelihood algorithm (FIMLA) for multipath mitigation in next generation of GNSS receivers.
dc.creator Sahmoudi, M.
Amin, M. G.
dc.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.
dc.date 2008
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dc.source IEEE Transactions on Wireless Communications, October, 2008.
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