DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Multicorrelator Signal Tracking and Signal Quality Monitoring for GNSS with Extended Kalman Filter

Iliopoulos, Andreas and Enneking, Christoph and Garcia Crespillo, Omar and Jost, Thomas and Thoelert, Steffen and Antreich, Felix (2017) Multicorrelator Signal Tracking and Signal Quality Monitoring for GNSS with Extended Kalman Filter. In: 2017 IEEE Aerospace Conference, pp. 1-10. 2017 IEEE Aerospace Conference, 4.-11. Mar. 2017, Big Sky, USA. doi: 10.1109/AERO.2017.7943579.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/document/7943579/


GNSS signals may present anomalies that degrade the positioning performance of GNSS receivers. Signal Quality Monitoring (SQM) is normally used to detect and to characterize these anomalies. This is required for the GNSS operators and integrity services to determine when a satellite should be considered as faulty and draw conclusions about the type of the fault. In this paper, we present a new SQM algorithm that tracks the GNSS signal and possible channel deformations by using a novel methodology based on the Extended Kalman Filter (EKF). The EKF is designed such that the measurement update is performed in post-correlation and using multiple correlators. After the estimation of the channel response, we add a detection step to determine if the channel deviates from the nominal signal transmission scenario (i.e., the single path propagation). Results suggests that the performance of the delay estimation with the proposed EKF structure outperforms the classical Delay-Locked-Loop (DLL) estimation, especially in the presence of distortions. Furthermore, it can reliably detect anomalous signal deformations as specified by ICAO threat model.

Item URL in elib:https://elib.dlr.de/113087/
Document Type:Conference or Workshop Item (Speech)
Title:Multicorrelator Signal Tracking and Signal Quality Monitoring for GNSS with Extended Kalman Filter
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Iliopoulos, AndreasAndreas.Iliopoulos (at) dlr.deUNSPECIFIED
Enneking, ChristophChristoph.Enneking (at) dlr.deUNSPECIFIED
Garcia Crespillo, OmarOmar.GarciaCrespillo (at) dlr.deUNSPECIFIED
Jost, ThomasThomas.Jost (at) dlr.deUNSPECIFIED
Thoelert, Steffensteffen.thoelert (at) dlr.deUNSPECIFIED
Antreich, FelixFelix.Antreich (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:2017 IEEE Aerospace Conference
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/AERO.2017.7943579
Page Range:pp. 1-10
Keywords:channel esitmation, Extended Kalman Filter, Satellite Signal Anomaly, Anomaly Detector
Event Title:2017 IEEE Aerospace Conference
Event Location:Big Sky, USA
Event Type:international Conference
Event Dates:4.-11. Mar. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Project Navigation 4.0 (old), R - Project Dependable Navigation (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Institute of Communication and Navigation > Communications Systems
Deposited By: Iliopoulos, Andreas
Deposited On:05 Jul 2017 11:41
Last Modified:05 Jul 2017 11:41

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.