ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers

This paper addresses the estimation of the code-phase(pseudorange) and the carrier-phase of the direct signal received from a direct-sequence spread-spectrum satellite transmitter. The signal is received by an antenna array in a scenario with interference and multipath propagation. These two effects...

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Autores: Seco Granados, Gonzalo, Fernández Rubio, Juan Antonio|||0000-0003-1494-5366, Fernández Prades, Carlos
Formato: artículo
Fecha de publicación:2005
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/1560
Acesso em linha:https://hdl.handle.net/2117/1560
Access Level:acceso abierto
Palavra-chave:Artificial satellites in telecommunication
Signal processing
Antenna arrays
Electromagnetic compatibility
Computational complexity
Direction-of-arrival estimation
Interference migration
Interference suppression
Iterative methods
Maximum likelihood principle
Phase estimation
Radio receivers
Radiofrequency interference
Satellite navigation
Spread spectrum communication
ML estimator
Hybrid beamformer
Interference mitigation
GNSS receiver
Code-phase estimation
Carrier-phase estimation
Direct-sequence spread-spectrum satellite transmitter
Multipath propagation
Iterative algorithm
Mean squared error method
Adaptive signal estimation
Array signal processing
Calibration
Code division multiaccess
Delay estimation
Early-late estimator
Global Positioning System
Multipath channel
Pseudorandom code
Radio navigation
Radio receiver
Satellite navigation system
Gaussian channel
Channel coding
Satèl·lits artificials -- Comunicacions
Processament del senyal
Antenes -- Agrupacions
Compatibilitat electromagnètica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
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repository_id_str
spelling ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receiversSeco Granados, GonzaloFernández Rubio, Juan Antonio|||0000-0003-1494-5366Fernández Prades, CarlosArtificial satellites in telecommunicationSignal processingAntenna arraysElectromagnetic compatibilityAntenna arraysComputational complexityDirection-of-arrival estimationInterference migrationInterference suppressionIterative methodsMaximum likelihood principlePhase estimationRadio receiversRadiofrequency interferenceSatellite navigationSpread spectrum communicationML estimatorHybrid beamformerInterference mitigationGNSS receiverCode-phase estimationCarrier-phase estimationDirect-sequence spread-spectrum satellite transmitterMultipath propagationIterative algorithmMean squared error methodAdaptive signal estimationArray signal processingCalibrationCode division multiaccessDelay estimationEarly-late estimatorGlobal Positioning SystemInterference suppressionMultipath channelPseudorandom codeRadio navigationRadio receiverSatellite navigation systemGaussian channelChannel codingSatèl·lits artificials -- ComunicacionsProcessament del senyalAntenes -- AgrupacionsCompatibilitat electromagnèticaÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyalThis paper addresses the estimation of the code-phase(pseudorange) and the carrier-phase of the direct signal received from a direct-sequence spread-spectrum satellite transmitter. The signal is received by an antenna array in a scenario with interference and multipath propagation. These two effects are generally the limiting error sources in most high-precision positioning applications. A new estimator of the code- and carrier-phases is derived by using a simplified signal model and the maximum likelihood (ML) principle. The simplified model consists essentially of gathering all signals, except for the direct one, in a component with unknown spatial correlation. The estimator exploits the knowledge of the direction-of-arrival of the direct signal and is much simpler than other estimators derived under more detailed signal models. Moreover, we present an iterative algorithm, that is adequate for a practical implementation and explores an interesting link between the ML estimator and a hybrid beamformer. The mean squared error and bias of the new estimator are computed for a number of scenarios and compared with those of other methods. The presented estimator and the hybrid beamforming outperform the existing techniques of comparable complexity and attains, in many situations, the Cramér–Rao lower bound of the problem at hand.Peer ReviewedIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC20052005-05-3120082008-02-04journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/1560reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/15602026-05-27T15:37:01Z
dc.title.none.fl_str_mv ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
title ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
spellingShingle ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
Seco Granados, Gonzalo
Artificial satellites in telecommunication
Signal processing
Antenna arrays
Electromagnetic compatibility
Antenna arrays
Computational complexity
Direction-of-arrival estimation
Interference migration
Interference suppression
Iterative methods
Maximum likelihood principle
Phase estimation
Radio receivers
Radiofrequency interference
Satellite navigation
Spread spectrum communication
ML estimator
Hybrid beamformer
Interference mitigation
GNSS receiver
Code-phase estimation
Carrier-phase estimation
Direct-sequence spread-spectrum satellite transmitter
Multipath propagation
Iterative algorithm
Mean squared error method
Adaptive signal estimation
Array signal processing
Calibration
Code division multiaccess
Delay estimation
Early-late estimator
Global Positioning System
Interference suppression
Multipath channel
Pseudorandom code
Radio navigation
Radio receiver
Satellite navigation system
Gaussian channel
Channel coding
Satèl·lits artificials -- Comunicacions
Processament del senyal
Antenes -- Agrupacions
Compatibilitat electromagnètica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
title_short ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
title_full ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
title_fullStr ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
title_full_unstemmed ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
title_sort ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers
dc.creator.none.fl_str_mv Seco Granados, Gonzalo
Fernández Rubio, Juan Antonio|||0000-0003-1494-5366
Fernández Prades, Carlos
author Seco Granados, Gonzalo
author_facet Seco Granados, Gonzalo
Fernández Rubio, Juan Antonio|||0000-0003-1494-5366
Fernández Prades, Carlos
author_role author
author2 Fernández Rubio, Juan Antonio|||0000-0003-1494-5366
Fernández Prades, Carlos
author2_role author
author
dc.subject.none.fl_str_mv Artificial satellites in telecommunication
Signal processing
Antenna arrays
Electromagnetic compatibility
Antenna arrays
Computational complexity
Direction-of-arrival estimation
Interference migration
Interference suppression
Iterative methods
Maximum likelihood principle
Phase estimation
Radio receivers
Radiofrequency interference
Satellite navigation
Spread spectrum communication
ML estimator
Hybrid beamformer
Interference mitigation
GNSS receiver
Code-phase estimation
Carrier-phase estimation
Direct-sequence spread-spectrum satellite transmitter
Multipath propagation
Iterative algorithm
Mean squared error method
Adaptive signal estimation
Array signal processing
Calibration
Code division multiaccess
Delay estimation
Early-late estimator
Global Positioning System
Interference suppression
Multipath channel
Pseudorandom code
Radio navigation
Radio receiver
Satellite navigation system
Gaussian channel
Channel coding
Satèl·lits artificials -- Comunicacions
Processament del senyal
Antenes -- Agrupacions
Compatibilitat electromagnètica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
topic Artificial satellites in telecommunication
Signal processing
Antenna arrays
Electromagnetic compatibility
Antenna arrays
Computational complexity
Direction-of-arrival estimation
Interference migration
Interference suppression
Iterative methods
Maximum likelihood principle
Phase estimation
Radio receivers
Radiofrequency interference
Satellite navigation
Spread spectrum communication
ML estimator
Hybrid beamformer
Interference mitigation
GNSS receiver
Code-phase estimation
Carrier-phase estimation
Direct-sequence spread-spectrum satellite transmitter
Multipath propagation
Iterative algorithm
Mean squared error method
Adaptive signal estimation
Array signal processing
Calibration
Code division multiaccess
Delay estimation
Early-late estimator
Global Positioning System
Interference suppression
Multipath channel
Pseudorandom code
Radio navigation
Radio receiver
Satellite navigation system
Gaussian channel
Channel coding
Satèl·lits artificials -- Comunicacions
Processament del senyal
Antenes -- Agrupacions
Compatibilitat electromagnètica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
description This paper addresses the estimation of the code-phase(pseudorange) and the carrier-phase of the direct signal received from a direct-sequence spread-spectrum satellite transmitter. The signal is received by an antenna array in a scenario with interference and multipath propagation. These two effects are generally the limiting error sources in most high-precision positioning applications. A new estimator of the code- and carrier-phases is derived by using a simplified signal model and the maximum likelihood (ML) principle. The simplified model consists essentially of gathering all signals, except for the direct one, in a component with unknown spatial correlation. The estimator exploits the knowledge of the direction-of-arrival of the direct signal and is much simpler than other estimators derived under more detailed signal models. Moreover, we present an iterative algorithm, that is adequate for a practical implementation and explores an interesting link between the ML estimator and a hybrid beamformer. The mean squared error and bias of the new estimator are computed for a number of scenarios and compared with those of other methods. The presented estimator and the hybrid beamforming outperform the existing techniques of comparable complexity and attains, in many situations, the Cramér–Rao lower bound of the problem at hand.
publishDate 2005
dc.date.none.fl_str_mv 2005
2005-05-31
2008
2008-02-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/1560
url https://hdl.handle.net/2117/1560
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425650400493568
score 15.300724

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