Wuhan University

Chengdu University of Technology

Yaping Gao

Wenju Fu

Pengcheng Zhao

Guo Chen

Jiapeng Li

Weige Zi

The present application relates to the field of satellite navigation systems, and discloses a real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data. The real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data includes: S, converting clock error phase data into the frequency data; S, processing the frequency data through a frequency anomaly detection function, and eliminating an abnormal value, where the frequency anomaly detection function determines whether the frequency data is an outlier according to a standard deviation and a threshold of the frequency data; and S, performing a real-time sliding clock error forecast, and eliminating the abnormal value and updating a forecast epoch by using fitted phase data and a threshold range.

Growing community of inventors

Chengdu, China

Yaping Gao