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The ambiguity-resolved detector: a detector for the mixed-integer GNSS model
by
Teunissen, P. J. G.
in
Ambiguity
/ Bias
/ Decomposition
/ Detectors
/ Earth and Environmental Science
/ Earth Sciences
/ Geophysics/Geodesy
/ Hypotheses
/ Original Article
/ Parameter estimation
/ Performance evaluation
/ Probability
/ Random variables
/ Sensors
/ Success
2024
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The ambiguity-resolved detector: a detector for the mixed-integer GNSS model
by
Teunissen, P. J. G.
in
Ambiguity
/ Bias
/ Decomposition
/ Detectors
/ Earth and Environmental Science
/ Earth Sciences
/ Geophysics/Geodesy
/ Hypotheses
/ Original Article
/ Parameter estimation
/ Performance evaluation
/ Probability
/ Random variables
/ Sensors
/ Success
2024
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Do you wish to request the book?
The ambiguity-resolved detector: a detector for the mixed-integer GNSS model
by
Teunissen, P. J. G.
in
Ambiguity
/ Bias
/ Decomposition
/ Detectors
/ Earth and Environmental Science
/ Earth Sciences
/ Geophysics/Geodesy
/ Hypotheses
/ Original Article
/ Parameter estimation
/ Performance evaluation
/ Probability
/ Random variables
/ Sensors
/ Success
2024
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The ambiguity-resolved detector: a detector for the mixed-integer GNSS model
Journal Article
The ambiguity-resolved detector: a detector for the mixed-integer GNSS model
2024
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Overview
In this contribution, we introduce the ambiguity-resolved (AR) detector and study its distributional characteristics. The AR-detector is a new detector that lies in between the commonly used ambiguity-float (AF) and ambiguity-known (AK) detectors. As the ambiguity vector can seldomly be known completely, usage of the AK-detector is questionable as reliance on its distributional properties will then generally be incorrect. The AR-detector resolves the shortcomings of the AK-detector by treating the ambiguities as unknown integers. We show how the detector improves upon the AF-detector, and we demonstrate that the, for ambiguity-resolved parameter estimation, commonly required extreme success rates can be relaxed for detection, thus showing that improved model validation is also possible with smaller success rates. As such, the AR-detector is designed to work for mixed-integer GNSS models.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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