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The lightning detection from a geostationary platform plays a significant role in monitoring strong convection in real time and providing early warning. However, the false signals have an negatively impact on lighting detection. The false signal filtering algorithms in lightning detection by geostationary satellite are explored, which can greatly improve the accuracy of lightning data analysis. Based on the origins and characteristics of these false events, the existing filtering algorithms are systematically analyzed and summarized. The investigation shows that the existing filtering algorithms usually have distinctive characteristics with regards to noise sources, and the false events that can be identified today can be restrained to a certain extent. The future work include: (1) designing the false signal filtering algorithm based on the characteristics of FY4 GLI, (2) designing more universal and efficient algorithm to ensure the capability for observing lightning in real time and continuously, and (3) considering the accuracy evaluation of the algorithm in order to improve it continuously.