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Multipath Rejection Using Multi-Frequency Multi-Correlator Based GNSS Receiver With an Extended Kalman Filter

Siebert, Christian und Konovaltsev, Andriy und Meurer, Michael (2022) Multipath Rejection Using Multi-Frequency Multi-Correlator Based GNSS Receiver With an Extended Kalman Filter. In: 2022 International Technical Meeting of The Institute of Navigation, ITM 2022, Seiten 1039-1053. 2022 International Technical Meeting of The Institute of Navigation, 25.-27. Jan. 2022, Long Beach, USA. doi: 10.33012/2022.18200. ISBN 978-093640630-5. ISSN 2330-3646.

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Offizielle URL: https://www.ion.org/publications/abstract.cfm?articleID=18200

Kurzfassung

Multipath propagation is still a major source of error in Global Navigation Satellite Systems (GNSSs), especially in urban areas. Here, satellite signals can be reflected by obstacles in the closer receiver environment, resulting in additional delayed signal replicas at the receiver. As a result, conventional GNSS receivers provide biased range estimates, leading to Position, Velocity, and Time (PVT) errors. The demand for high accuracy and fail-safe positioning is rising, especially for newly emerging safety-relevant applications like autonomous cars and unmanned aerial vehicles. GNSS positioning with deviations of several meters, as it may occur in multipath environments, would be insufficient. Besides multipath, the ionosphere, introducing a frequency-dependent delay to GNSS signals, is a second major source of error. Estimating and compensating for this effect with a state-of-the-art multi-frequency receiver using the ionosphere-free combination is the standard approach. However, the positioning accuracy suffers from multipath errors and amplified noise contributions. Therefore, a novel multi-frequency Extended Kalman Filter (EKF) based algorithm for multipath and ionosphere estimation and mitigation is proposed. The solution relies on a multi-correlator structure which replaces the conventional Delay Locked Loop (DLL) and no longer requires the ionosphere-free combination. The underlying signal model of the EKF accounts for multipath by considering the radio propagation channel between satellite and user. In addition to increased resilience against multipath propagation, an estimate of the Channel Impulse Response (CIR) is obtained. The performance gains achieved using the multifrequency EKF are demonstrated with simulations. A hardware GNSS constellation simulator was used to compare the proposed solution to a state-of-the-art dual-frequency receiver. The results were then verified by processing actual measurements. The proposed method proved to be very effective against multipath. Furthermore, good estimates for the ionospheric Total Electron Content (TEC) were obtained.

elib-URL des Eintrags:https://elib.dlr.de/185406/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Multipath Rejection Using Multi-Frequency Multi-Correlator Based GNSS Receiver With an Extended Kalman Filter
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Siebert, ChristianChristian.Siebert (at) dlr.dehttps://orcid.org/0000-0001-7228-5488152108367
Konovaltsev, AndriyAndriy.Konovaltsev (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Meurer, MichaelMichael.Meurer (at) dlr.dehttps://orcid.org/0000-0001-7465-6705NICHT SPEZIFIZIERT
Datum:Januar 2022
Erschienen in:2022 International Technical Meeting of The Institute of Navigation, ITM 2022
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.33012/2022.18200
Seitenbereich:Seiten 1039-1053
ISSN:2330-3646
ISBN:978-093640630-5
Status:veröffentlicht
Stichwörter:GNSS Receiver, Multipath Mitigation, Multi-Frequency Tracking, Ionosphere Estimation, Multi-Correlator, EKF
Veranstaltungstitel:2022 International Technical Meeting of The Institute of Navigation
Veranstaltungsort:Long Beach, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:25.-27. Jan. 2022
Veranstalter :Institute of Navigation
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Kommunikation, Navigation, Quantentechnologien
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R KNQ - Kommunikation, Navigation, Quantentechnologie
DLR - Teilgebiet (Projekt, Vorhaben):R - Projekt Navigation 4.0
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Kommunikation und Navigation > Navigation
Hinterlegt von: Siebert, Christian
Hinterlegt am:23 Feb 2022 14:55
Letzte Änderung:01 Feb 2024 11:23

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