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Multi-satellite cycle-slip detection and exclusion using the noise subspace of residual dynamics

Author
Riba, J.; De Cabrera, F.; Juan, J.
Type of activity
Presentation of work at congresses
Name of edition
26th European Signal Processing Conference
Date of publication
2018
Presentation's date
2018-09-03
Book of congress proceedings
EUSIPCO 2018: 26th European Signal Processing Conference: Rome, Italy: September 3-7, 2018
First page
2280
Last page
2284
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.23919/EUSIPCO.2018.8553334
Project funding
Wrestling with Interference in Communications and Information Processing (TEC2016-76409-C2-1-R)
Repository
http://hdl.handle.net/2117/171483 Open in new window
https://www.eurasip.org/Proceedings/Eusipco/Eusipco2018/papers/1570435891.pdf Open in new window
URL
https://ieeexplore.ieee.org/document/8553334 Open in new window
Abstract
Real-time detection of cycle-slips on undifferenced carrier-phase measurements is an important task to properly exclude wrong phase trackers from precise positioning algorithms. The detection is especially challenging in high-dynamic mobile scenarios, where traditional approaches (as those based on single-channel polynomial fitting) may easily lead to false positives. Using a multi-channel formulation of the problem, the proposed technique takes benefit of the available data redundancy (high num...
Citation
Riba, J.; De Cabrera, F.; Juan, J. Multi-satellite cycle-slip detection and exclusion using the noise subspace of residual dynamics. A: European Signal Processing Conference. "EUSIPCO 2018: 26th European Signal Processing Conference: Rome, Italy: September 3-7, 2018". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 2280-2284.
Keywords
Cycle-Slips, GLRT, GNSS, MIMO, SVD
Group of research
SPCOM - Signal Processing and Communications Group
gAGE - Research Group of Astronomy and Geomatics

Participants