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Multipath Rejection Using Multicorrelator Based GNSS Receiver With an Extended Kalman Filter

Siebert, Christian und Konovaltsev, Andriy und Meurer, Michael (2021) Multipath Rejection Using Multicorrelator Based GNSS Receiver With an Extended Kalman Filter. In: 2021 Institute of Navigation International Technical Meeting, ITM 2021, Seiten 269-281. Institute of Navigation International Technical Meeting 2021, ITM 2021, 2021-01-25 - 2021-01-28, San Diego, USA. doi: 10.33012/2021.17832. ISBN 978-093640627-5.

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Offizielle URL: https://www.ion.org/publications/abstract.cfm?articleID=17832

Kurzfassung

Multipath propagation is to this day a major source of error in Global Navigation Satellite Systems (GNSSs), in particular in urban environments. Here, additional delayed signal replicas reach the receiver via one or multiple reflections from nearby obstacles. This causes biased range estimates in conventional receivers leading to Position, Velocity, and Time (PVT) errors. New safety-relevant applications as unmanned aerial vehicles or autonomous cars raise demand for high accuracy and fail-safe positioning systems. Deviations of several meters or outages in these areas are unacceptable. A novel proposal is made for an effective multipath rejection. The solution is based on a multicorrelator receiver using an Extended Kalman Filter (EKF) as an iterative solver replacing the conventional Delay Locked Loop (DLL) code tracking. The underlying signal model of the EKF incorporates the radio propagation channel between satellite and receiver inherently considering the reception of reflected multipath signals. Therewith, not only additional resilience against multipath propagation phenomena can be achieved while performing the code pseudorange measurement, but also an estimate for the Channel Impulse Response (CIR) of the radio channel is obtained. The functionality of the proposed approach has been demonstrated with simulations. A hardware GNSS constellation simulator has been used to test the algorithm under realistic conditions. The performance has been compared against the conventional DLL based GNSS receiver. It turned out that the effect of multipath in the pseudoranges as well as the PVT solution has been widely mitigated. In addition to that, it has been demonstrated that the estimation of the CIR of a radio channel affected by strong multipath delivers promising results.

elib-URL des Eintrags:https://elib.dlr.de/138890/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Multipath Rejection Using Multicorrelator 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/0000-0001-7228-5488153688265
Konovaltsev, AndriyAndriy.Konovaltsev (at) dlr.dehttps://orcid.org/0009-0003-1876-579XNICHT SPEZIFIZIERT
Meurer, MichaelMichael.Meurer (at) dlr.dehttps://orcid.org/0000-0001-7465-6705NICHT SPEZIFIZIERT
Datum:Februar 2021
Erschienen in:2021 Institute of Navigation International Technical Meeting, ITM 2021
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.33012/2021.17832
Seitenbereich:Seiten 269-281
ISBN:978-093640627-5
Status:veröffentlicht
Stichwörter:GNSS Receiver, Multipath Mitigation, Multicorrelator, EKF
Veranstaltungstitel:Institute of Navigation International Technical Meeting 2021, ITM 2021
Veranstaltungsort:San Diego, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:25 Januar 2021
Veranstaltungsende:28 Januar 2021
Veranstalter :Institute of Navigation
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Kommunikation und Navigation
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R KN - Kommunikation und Navigation
DLR - Teilgebiet (Projekt, Vorhaben):R - Projekt Navigation 4.0 (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Kommunikation und Navigation > Navigation
Hinterlegt von: Siebert, Christian
Hinterlegt am:09 Jun 2021 17:20
Letzte Änderung:24 Apr 2024 20:40

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