Analysis of cycle slip processing algorithm for precipitation observation data based on GNSS polarimetric occultation signal

Extracting precipitation information by Global Navigation Satellite System (GNSS) polarimetric occultation signal is a new research field in the world. Based on the previous theoretical research, simulation analysis and ground-based experiments, this paper focuses on solving the problem of cycle slip in the data of ground-based experiments. Combined with the characteristics of carrier phase data of ground-based experiments, the feasibility and application scope of six commonly used cycle slip detection algorithms, such as high-order difference method and doppler observation value method, are systematically compared and analyzed, and then the high-order difference method is improved to solve the problem of manually determining the number of times of difference. Finally, the reliability and effectiveness of this method are verified through simulation analysis and measured data. The results show that this method can accurately detect all kinds of cycle slips of horizontally polarized carrier phase and vertically polarized carrier phase under rain free and rainy conditions, and can be effectively applied to the precipitation observation data processing of GNSS polarimetric occultation signal.