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...
Main Authors: | , |
---|---|
Format: | |
Language: | English |
Published: |
2008
|
Online Access: | http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173300 |
id |
vudl:173300 |
---|---|
record_format |
vudl |
institution |
Villanova University |
collection |
Digital Library |
modeltype_str_mv |
vudl-system:ResourceCollection vudl-system:CollectionModel vudl-system:CoreModel |
datastream_str_mv |
LICENSE AUDIT MEMBER-QUERY PARENT-LIST-RAW RELS-EXT STRUCTMAP MEMBER-LIST-RAW PARENT-QUERY AGENTS PARENT-LIST DC LEGACY-METS PROCESS-MD THUMBNAIL |
hierarchytype |
|
hierarchy_all_parents_str_mv |
vudl:173023 vudl:172968 vudl:641262 vudl:3 vudl:1 |
sequence_vudl_173023_str |
0000000093 |
hierarchy_top_id |
vudl:641262 |
hierarchy_top_title |
Villanova Faculty Publications |
fedora_parent_id_str_mv |
vudl:173023 |
hierarchy_first_parent_id_str |
vudl:173300 |
hierarchy_parent_id |
vudl:173023 |
hierarchy_parent_title |
Amin Moeness |
hierarchy_sequence_sort_str |
0000000093 |
hierarchy_sequence |
0000000093 |
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 |
normalized_sort_date |
2008-01-01T00:00:00Z |
language |
English |
collection_title_sort_str |
fast iterative maximum-likelihood algorithm (fimla) for multipath mitigation in next generation of gnss receivers. |
fgs.createdDate_txt_mv |
2013-01-22T02:43:29.475Z |
relsext.sortOn_txt_mv |
title |
relsext.sequence_txt_mv |
vudl:173023#93 |
fgs.type_txt_mv |
http://fedora.info/definitions/v4/repository#Resource http://www.w3.org/ns/ldp#BasicContainer http://www.w3.org/ns/ldp#Resource http://fedora.info/definitions/v4/repository#Container http://www.w3.org/ns/ldp#Container http://www.w3.org/ns/ldp#RDFSource |
fgs.createdBy_txt_mv |
fedoraAdmin |
fgs.label_txt_mv |
Fast iterative maximum-likelihood algorithm (FIMLA) formultipath mitigation in next generation of GNSS receivers. |
relsext.isMemberOf_txt_mv |
http://hades.library.villanova.edu:8080/rest/vudl:173023 |
relsext.hasLegacyURL_txt_mv |
http://digital.library.villanova.edu/Villanova%20Digital%20Collection/Faculty%20Fulltext/Amin%20Moeness/AminMoeness-266900a3-f0db-4402-a4f3-b4d6ad82ab2f.xml |
fgs.ownerId_txt_mv |
diglibEditor |
relsext.hasModel_txt_mv |
http://hades.library.villanova.edu:8080/rest/vudl-system:ResourceCollection http://hades.library.villanova.edu:8080/rest/vudl-system:CollectionModel http://hades.library.villanova.edu:8080/rest/vudl-system:CoreModel |
fgs.lastModifiedDate_txt_mv |
2021-04-12T19:08:50.094Z |
relsext.itemID_txt_mv |
oai:digital.library.villanova.edu:vudl:173300 |
fgs.state_txt_mv |
Active |
fgs.lastModifiedBy_txt_mv |
fedoraAdmin |
has_order_str |
no |
agent.name_txt_mv |
Falvey Memorial Library, Villanova University KHL |
license.mdRef_str |
http://digital.library.villanova.edu/copyright.html |
license_str |
protected |
has_thumbnail_str |
true |
THUMBNAIL_contentDigest_digest_str |
203c69e18f4f46c81e9892448d2c07cd |
first_indexed |
2014-01-11T21:57:21Z |
last_indexed |
2021-04-12T19:34:34Z |
_version_ |
1785892944937484288 |
subpages |