As an important parameter describing the shape and internal structure of the ionosphere, Total Electron Content (TEC) plays an important role in the theoretical research and development of the ionosphere field. The detection of cycle slips has always been the focus and difficulty of Global Position System (GPS) carrier phase measurement data preprocessing, especially in In high-precision GPS positioning, the application of Kalman filtering in cycle slip detection and repair enables accurate and reliable detection of cycle slips that may appear in observations. Kalman filtering algorithm is used to detect different observation data types and combinations, and repair them The later observations are compared with theoretical values, and the results show that the algorithm has good effectiveness and accuracy for cycle slip detection and repair.