A cutting-edge study has uncovered crucial new insights into the effects of equatorial plasma bubbles (EPBs) on aircraft navigation systems, shedding light on the hidden dangers posed by these atmospheric phenomena. These disturbances in the ionosphere can interfere with satellite signals, putting aviation safety at risk. The research focuses on developing a predictive model to evaluate how EPBs disrupt ground-based systems vital for guiding planes safely during landing.
Tag: GNSS
From floats to fixes: unifying ambiguity resolution in satellite navigation
The novel Multiple Integer Candidates Ambiguity Resolution (MICAR) algorithm harmonizes Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) under the Best Integer Equivariant (BIE) estimator, promising a transformative impact on navigation and positioning systems.
From floats to fixes: unifying ambiguity resolution in satellite navigation
The novel Multiple Integer Candidates Ambiguity Resolution (MICAR) algorithm harmonizes Full Ambiguity Resolution (FAR) and Partial Ambiguity Resolution (PAR) under the Best Integer Equivariant (BIE) estimator, promising a transformative impact on navigation and positioning systems.
Predicting space weather: machine learning enhances GNSS signal stability
By leveraging geodetic GNSS receivers and a pre-trained decision tree algorithm, the research offers a cost-effective and efficient method to monitor and mitigate the adverse effects of scintillation on navigation accuracy.