A Rao-Blackwellized particle filter that estimates position and velocity separately, with NLOS rejection, improves GNSS positioning accuracy in urban environments without integer ambiguity resolution.
Improvement of reliability determination performance of real time kinematic solutions using height trajectory,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Robust Position Estimation by Rao-Blackwellized Particle Filter without Integer Ambiguity Resolution in Urban Environments
A Rao-Blackwellized particle filter that estimates position and velocity separately, with NLOS rejection, improves GNSS positioning accuracy in urban environments without integer ambiguity resolution.