Optimizing GNSS Data Sampling Rates for Improving Precise Point Positioning Accuracy and Reducing Convergence Time

Precise Point Positioning (PPP) is increasingly being used for achieving highly accurate positioning using a single GNSS receiver, particularly in applications such as seismic monitoring and structural health assessments. This study explores the impact of GNSS data sampling rates on PPP accuracy and convergence time by collecting field measurements from five observation points in Erbil, Iraq, using a Leica GS16 instrument. Data were recorded at sample intervals of 5, 15, 30, and 60 seconds for two hours at each location. Statistical analysis shows that reducing the sampling interval significantly improves the root mean square error (RMSE). For example, at the 5-second sampling rate, the RMSE at point A dropped by 85%—from 0.35 meters at 15 minutes to 0.05 meters after 120 minutes. Similarly, at the 60-second sampling rate, the RMSE improved by approximately 80% during the same period. Across all points, the highest accuracy improvements occurred within the first 30 to 60 minutes of observation, demonstrating that higher sampling rates help reduce convergence times. However, the benefit diminishes for extended observation durations, suggesting that optimizing the sampling interval is crucial for balancing accuracy and efficiency in PPP applications.