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This lecture presents a study on the performance of differential GNSS systems in Finland, comparing DGNSS, EGNOS, and SDCM in various user scenarios. The experiments analyze static and dynamic positioning accuracy, highlighting the advantages of DGNSS in challenging environments. Results show that DGNSS outperforms EGNOS and SDCM, especially in open areas. The study emphasizes the importance of network geometry and real-time corrections for accurate positioning. The paper review praises the structured approach of the study, noting its avoidance of bias and clear presentation of results.