Bayesian EM approach for GNSS parameters of interest estimation under constant modulus interference

Bayesian EM approach for GNSS parameters of interest estimation under constant modulus interference

Abstract Interferences pose a significant risk to applications that rely on global navigation satellite systems (GNSSs). They have the potential to degrade GNSS performance and even result in service disruptions. The most notable type of intentional interference is characterized by a constant modulu...

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Bibliographic Details
Main Authors: Julien Lesouple, Lorenzo Ortega
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Maximum likelihood
Expectation–maximization
GNSS
Interference
Von Mises distribution
Online Access:https://doi.org/10.1186/s13634-024-01129-z

Internet

https://doi.org/10.1186/s13634-024-01129-z

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