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Dual polarization beamforming algorithm for multipath mitigation in {GNSS}

Fohlmeister, Friederike and Iliopoulos, Andreas and Sgammini, Matteo and Antreich, Felix and Nossek, Josef A. (2017) Dual polarization beamforming algorithm for multipath mitigation in {GNSS}. Signal Processing, 138, 86 - 97. Elsevier. ISSN 0165-1684

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Official URL: http://www.sciencedirect.com/science/article/pii/S0165168417300944

Abstract

Abstract This paper treats the problem of line-of-sight (LOS) parameter estimation in strong multipath environments. In the case of highly temporally and spatially correlated {LOS} and multipath signals, such as urban canyons, common multipath mitigation methods are highly degraded, as signal separation cannot be performed in the spatio temporal domain. In this case, we exploit the {LOS} and multipath polarization diversity to decouple the signals using an antenna array with right-hand-circular polarization (RHCP) and left-hand-circular polarization (LHCP) feeds. The multipath direction- of-arrival (DOA) and polarization coefficients can effectively be estimated from the {LHCP} spatial covariance matrix. The {LOS} {DOA} can be estimated from the {RHCP} spatial covariance matrix. The spatial covariance matrices are calculated from the outputs of a matched correlator bank. The {DOA} and polarization estimates are used to implement a dual polarization beamformer, which maximizes the {LOS} energy and suppresses multipath energy over both polarizations. The {LOS} time-delay is estimated from the beamformer output with a maximum-likelihood estimator with a significantly reduced number of parameters and computational complexity in comparison to a full model estimator. Simulation results for {GPS} show that the proposed dual polarization beamforming algorithm performs better than an equivalent single-polarization beamformer in a dense multipath environment.

Item URL in elib:https://elib.dlr.de/111845/
Document Type:Article
Title:Dual polarization beamforming algorithm for multipath mitigation in {GNSS}
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fohlmeister, FriederikeFriederike.Fohlmeister (at) dlr.dehttps://orcid.org/0000-0002-2568-7473
Iliopoulos, AndreasAndreas.Iliopoulos (at) dlr.deUNSPECIFIED
Sgammini, Matteodlr, institute of communications and navigationhttps://orcid.org/0000-0003-4809-1741
Antreich, FelixUNSPECIFIEDUNSPECIFIED
Nossek, Josef A.technische universität münchen (tum)UNSPECIFIED
Date:September 2017
Journal or Publication Title:Signal Processing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:138
Page Range:86 - 97
Publisher:Elsevier
ISSN:0165-1684
Status:Published
Keywords:Spatial filtering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Fohlmeister, Friederike
Deposited On:12 Apr 2017 11:13
Last Modified:12 Apr 2017 11:13

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