International Journal of Science, Engineering and TechnologyAuthors: Sandeep Kumar Kashyap, Shweta Vikram
Abstract: GNSS rover output often shows short-term fluctuations. These can arise from multipath effects, atmospheric changes, and receiver noise. Even with RTK corrections, jitters pose a major challenge for precision applications. This paper reviews the Moving Average (MA) filter for enhancing GNSS rover stability. The MA filter smooths high-frequency noise by averaging recent measurements. This process improves coordinate smoothness and horizontal accuracy. We evaluated this with a synthetic noisy GNSS dataset. Results demonstrate clear improvements in stability and less dispersion after applying MA filtering. These findings align with previous studies on low-cost GNSS filtering.
