Cycle slip detection and correction of single-frequency un-differenced phase observation

Cycle slip detection is always an important section of global positioning system(GPS) precise data processing. Some classic methods about cycle slip detection are adopted in practical data processing, but for single-frequency un-differenced phase observations, cycle slip detection and modification are hard to be realized. A new cycle slip detection method is proposed on the basis of the grey theory to predict the threshold limit by modeling tests which are constructed by pseudo range and carrier phase observations. This algorithm is analyzed with different sampling rate GPS static observations. The results indicate that the algorithm can detect and correct outliers properly for high sampling rate observations, which helps data quality controlling for un-differenced precise positioning.