During the execution of precision measurement and control tasks by ground - based equipment, in order to accurately track the angular error demodulation signal, phase and slope correction of the tracking receiver are required, and the process of obtaining the correction value is called phase calibration. Ensuring the precise phase difference calibration of the sum and difference receiving channels is a key step to meet the self - tracking requirements of the target for the angle measurement subsystem. The traditional phase calibration method for multimode feed tracking systems faces challenges such as low efficiency, susceptibility to calibration equipment failures, and the impact of field setup environments, which not only limits the smooth progress of measurement and control tasks but may also have an adverse effect on the accuracy of target tracking. This paper aims to study and analyze existing calibration methods, deeply mine the existing calibration data, and introduce the method of multiple fitting analysis of mathematical statistics to predict the phase shift value, thereby effectively enhance emergency measurement and control capability of the measurement and control equipment in practice, ensuring the continuity and accuracy of task execution.