GPS System Positioning Simulation with MATLAB

The MATLAB-based GPS positioning simulation system can effectively simulate pseudo-range measurement results and plays a crucial role in user positioning calculations. This simulation system enables modeling of the entire GPS positioning process, allowing for comprehensive testing and analysis of various parameters. For implementation, the system typically utilizes MATLAB's signal processing toolbox to generate simulated GPS signals and calculate pseudo-ranges based on satellite ephemeris data. The system architecture includes modules for satellite constellation simulation, signal propagation modeling, and positioning algorithms. Key functions like `pseudorange_calculation()` and `position_solver()` implement the mathematical computations for determining user coordinates. Different positioning algorithms such as Least Squares estimation and Kalman filtering can be evaluated and compared to identify optimal solutions. The simulation also incorporates noise modeling to study GPS signal propagation characteristics under various signal-to-noise ratio conditions. Additionally, the system allows researchers to analyze positioning accuracy under different environmental conditions by adjusting parameters like atmospheric delays and multipath effects through functions such as `error_modeling()`. This flexibility makes the simulation system particularly valuable for GPS system research and development, with broad application prospects in algorithm optimization and system performance analysis.