Gross error detection method for high-precision data processing of beidou satellite navigation system

Abstract Gross error detection is indispensable in the Beidou high-precision positioning process. In this paper, the ratio difference of cycle slip detection using the constant relationship between the observation values of any two different frequency data in the tri-frequency data is proposed. The algorithm is susceptible to abnormal changes in observations. It can detect abnormal changes of more than 0.1 weeks of observations. When the three-frequency data and three frequencies jump at the same time, the MW combination must be combined. The resolution accuracy is 1.6 weeks. Any other single-frequency or the resolution accuracy of dual-frequency simultaneous hopping can reach 0.1 weeks. Example validations were performed and found to be better than the TurbiEdit algorithm for roughness detection.