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Backing-Up GNSS with R-Mode: Positioning Performance for Recursive Estimators

Hösch, Lukas and Rizzi, Filippo Giacomo and Grundhöfer, Lars and Ziebold, Ralf and Medina, Daniel (2022) Backing-Up GNSS with R-Mode: Positioning Performance for Recursive Estimators. In: 2022 International Conference on Localization and GNSS, ICL-GNSS 2022. ICL-GNSS 2022 WiP, 07. - 09.06., Tampere, Finnland. ISSN 1613-0073.

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Abstract

Global Navigation Satellite Systems (GNSS) constitute the main information supplier for outdoor positioning and timing. Unfortunately unintended and malicious radio-frequency interference constitutes a major concern for GNSS. Within the maritime domain, radio attacks deprive the skippers from navigation and lead to the failure of different interfaces on a vessel’s bridge. Ranging-Mode (R-Mode) is a positioning system which uses signals-of-opportunity and allows to backup GNSS. This paper describes the overall R-Mode architecture and details the types of ranging and velocity observations derived from medium and very high frequency radio signals. This paper contributes with the derivation of recursive estimators, in the form of Cubature Kalman Filters, and the discussion of the particulars required to accommodate R-Mode observations. The theoretical analysis and performance comparison of the proposed filters is addressed via Monte Carlo simulation following a realistic maritime scenario.

Item URL in elib:https://elib.dlr.de/190174/
Document Type:Conference or Workshop Item (Speech)
Title:Backing-Up GNSS with R-Mode: Positioning Performance for Recursive Estimators
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Hösch, LukasUNSPECIFIEDhttps://orcid.org/0000-0002-0656-6502UNSPECIFIED
Rizzi, Filippo GiacomoUNSPECIFIEDhttps://orcid.org/0000-0003-0585-2133UNSPECIFIED
Grundhöfer, LarsUNSPECIFIEDhttps://orcid.org/0000-0002-8650-8280UNSPECIFIED
Ziebold, RalfUNSPECIFIEDhttps://orcid.org/0000-0002-0488-6457UNSPECIFIED
Medina, DanielUNSPECIFIEDhttps://orcid.org/0000-0002-1586-3269UNSPECIFIED
Date:10 August 2022
Journal or Publication Title:2022 International Conference on Localization and GNSS, ICL-GNSS 2022
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
ISSN:1613-0073
Status:Published
Keywords:Maritime Navigation, GNSS, R-Mode, Kalman Filtering
Event Title:ICL-GNSS 2022 WiP
Event Location:Tampere, Finnland
Event Type:international Conference
Event Dates:07. - 09.06.
Organizer:Tampere University
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - FuturePorts
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Nautical Systems
Deposited By: Hösch, Lukas
Deposited On:16 Nov 2022 12:49
Last Modified:25 Jan 2023 08:49

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