Cycle Slip Detection Using Dual-Frequency Combined Observations

This project implements cycle slip detection using dual-frequency combined observations in MATLAB, accompanied by experimental data files. Cycle slips refer to discontinuities in received signals caused by various factors during signal propagation, such as ionospheric delays, multipath effects, and signal interference. In GNSS applications, the presence of cycle slips significantly impacts positioning resolution. Therefore, detecting and resolving cycle slips is crucial for achieving precise positioning. In this study, we propose a cycle slip detection method based on dual-frequency combined observations. The method utilizes combined observations from L1 and L2 frequencies and detects cycle slips by calculating differences between observations. The MATLAB implementation includes key functions for data preprocessing, combination observation calculation, and differential analysis algorithms. The core algorithm involves computing linear combinations of carrier phase measurements from both frequencies to amplify cycle slip signatures while mitigating common errors. We provide experimental data files for reference, enabling readers to better understand the method's implementation process. The code structure includes modules for data loading, cycle slip detection algorithms, and results visualization, making it suitable for both research and educational purposes. This dual-frequency combined observation-based cycle slip detection method has broad application prospects in precision positioning fields and offers new approaches for advancing GNSS technology development. The implementation demonstrates practical MATLAB programming techniques for handling GNSS data processing and real-time quality control.