Establishment of Igmast Based on Spaceborne Atomic Clocks by Optimizing Kalman Plus Weights Algorithm

[1]  Tianhe Xu,et al.  Evaluation and Mitigation of the Influence of Pseudorange Biases on GNSS Satellite Clock Offset Estimation , 2022, Measurement.

[2]  Hongliang Cai,et al.  Multi-GNSS Combined Orbit and Clock Solutions at iGMAS , 2022, Sensors.

[3]  Shilpa Manandhar,et al.  Assessment of IGS ultra-rapid products for near real-time steering of UTC time scale in Singapore , 2021, Measurement: Sensors.

[4]  Yuanxi Yang,et al.  Featured services and performance of BDS-3. , 2021, Science bulletin.

[5]  Tianhe Xu,et al.  A simplified processing algorithm for multi-baseline RTK positioning in urban environments , 2021, Measurement.

[6]  Guanwen Huang,et al.  Long-term performance detection and evaluation of GLONASS onboard satellite clocks , 2021 .

[7]  Kamil Maciuk,et al.  Characteristics of Onefold Clocks of GPS, Galileo, BeiDou and GLONASS Systems , 2021, Sensors.

[8]  Guanwen Huang,et al.  Assessment and comparison of satellite clock offset between BeiDou-3 and other GNSSs , 2021, Acta Geodaetica et Geophysica.

[9]  Xiaojing Dou,et al.  Spaceborne atomic clock performance review of BDS-3 MEO satellites , 2021 .

[10]  Wen-Hung Tseng,et al.  Improving long-baseline rapid GPS time transfers by a modified common-view method , 2021, GPS Solutions.

[11]  Yunbin Yuan,et al.  Time and frequency characterization of GLONASS and Galileo on-board clocks , 2020, Measurement Science and Technology.

[12]  Weijin Qin,et al.  Assessment of the BDS-3 on-board clocks and their impact on the PPP time transfer performance , 2020 .

[13]  Yue Mao,et al.  Basic performance and future developments of BeiDou global navigation satellite system , 2020 .

[14]  Qin Zhang,et al.  Switching and performance variations of on-orbit BDS satellite clocks , 2019, Advances in Space Research.

[15]  Gianna Panfilo,et al.  A new approach to UTC calculation by means of the Kalman filter , 2016 .

[16]  Yiwei Wu,et al.  One-state and twice Kalman filter timescale algorithms , 2016 .

[17]  Ilaria Sesia,et al.  An Efficient and Configurable Preprocessing Algorithm to Improve Stability Analysis , 2016, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[18]  Guangfu Sun,et al.  Uncertainty Derivation and Performance Analyses of Clock Prediction Based on Mathematical Model Method , 2015, IEEE Transactions on Instrumentation and Measurement.

[19]  Gianna Panfilo,et al.  A new weighting procedure for UTC , 2013, 2013 Joint European Frequency and Time Forum & International Frequency Control Symposium (EFTF/IFC).

[20]  C. A. Greenhall,et al.  A review of reduced kalman filters for clock ensembles , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  L. Tisserand,et al.  A new prediction algorithm for the generation of International Atomic Time , 2012 .

[22]  Lorenzo Galleani,et al.  Application of the Dynamic Allan Variance for the Characterization of Space Clock Behavior , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[23]  P. Tavella,et al.  Time and the Kalman Filter , 2010, IEEE Control Systems.

[24]  Lorenzo Galleani,et al.  Detection and identification of atomic clock anomalies , 2008 .

[25]  I. Sesia,et al.  Estimating the Allan variance in the presence of long periods of missing data and outliers , 2008 .

[26]  W. Riley,et al.  Algorithms for frequency jump detection , 2008 .

[27]  Lorenzo Galleani,et al.  Detection of Anomalies in the Behavior of Atomic Clocks , 2007, IEEE Transactions on Instrumentation and Measurement.

[28]  Charles A Greenhall,et al.  Forming stable timescales from the Jones-Tryon Kalman filter , 2003 .

[29]  P. Tavella,et al.  On the use of the Kalman filter in timescales , 2003 .

[30]  K. Senior,et al.  Developing an IGS time scale , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[31]  D. Guo,et al.  A robust Kalman filter time scale algorithm with data anomaly , 2021 .

[32]  Tianhe Xu,et al.  An enhanced prediction model for BDS ultra-rapid clock offset that combines singular spectrum analysis, robust estimation and gray model , 2021 .

[33]  Guangfu Sun,et al.  Optimal Observation Intervals for Clock Prediction Based on the Mathematical Model Method , 2016, IEEE Transactions on Instrumentation and Measurement.

[34]  T. Weissert,et al.  AT2, a new time scale algorithm : AT1 plus frequency variance , 1991 .

[35]  Patrizia Tavella,et al.  Comparative Study of Time Scale Algorithms , 1991 .