Open access
Aug 2026
Optimizing network RTK positioning accuracy with centralized Kalman filtering
This paper proposes an undifferenced, uncombined centralized RTK positioning framework that maximizes the benefits from using multiple reference stations and produces an optimal positioning solution under Gaussian noise with correctly-specified error covariances.
Yuhang Gong, Shizhuang Wang, Xing-Qun Zhan
· Measurement science and tech... · 0 citations