J. Space Weather Space Clim.
Volume 7, 2017
Space weather effects on GNSS and their mitigation
|Number of page(s)||14|
|Published online||24 October 2017|
Multi-frequency GNSS robust carrier tracking for ionospheric scintillation mitigation
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA),
2 Department of Electrical and Computer Eng., Northeastern University, Boston, MA 02115, USA
3 European Space Agency (ESA), Noordwijk, The Netherlands
* Corresponding author: email@example.com
Accepted: 14 August 2017
Ionospheric scintillation is the physical phenomena affecting radio waves propagating from the space through the ionosphere to earth. The signal distortion induced by scintillation can pose a major threat to some GNSS application. Scintillation is one of the more challenging propagation scenarios, particularly affecting high-precision GNSS receivers which require high quality carrier phase measurements; and safety critical applications which have strict accuracy, availability and integrity requirements. Under ionospheric scintillation conditions, GNSS signals are affected by fast amplitude and phase variations, which can compromise the receiver synchronization. To take into account the underlying correlation among different frequency bands, we propose a new multivariate autoregressive model (MAR) for the multi-frequency ionospheric scintillation process. Multi-frequency GNSS observations and the scintillation MAR are modeled in state-space, allowing independent tracking of both line-of-sight phase variations and complex gain scintillation components. The resulting joint synchronization and scintillation mitigation problem is solved using a robust nonlinear Kalman filter, validated using real multi-frequency scintillation data with encouraging results.
Key words: GNSS / ionospheric scintillation / multivariate AR modeling / robust tracking / carrier phase synchronization / adaptive nonlinear Kalman filter
© J. Vilà-Valls et al., Published by EDP Sciences 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.