Application of Fuzzy Theory in Fault Diagnosis of Satellite Communication Ground Stations

With the development and application of internet and information communication technology, countries around the world have invested heavily in the space industry in recent years, with particular emphasis on the deployment of satellite communication systems. However, the complexity of satellite communication and the uncertainty of environmental changes often affect communication quality. In order to enhance the fault diagnosis and maintenance capabilities of technicians for satellite communication systems, this study applies fuzzy theory to fault diagnosis in satellite communication ground station. The research work introduces the basic architecture and equipment functions of satellite communication systems and combines the years of maintenance experience of experienced personnel to analyze possible types of faults and their impact on system performance. It proposes a fault diagnosis method based on fuzzy theory and establishes a database of possible fault causes. After maintenance or operation personnel input the quality parameters of satellite modem $\mathbf{E b} / \mathbf{N o}$ (energy per bit to noise power spectral density ratio) and RSL (Received Signal Level) into the system, fuzzy logic inference and data analysis comparison are used to quickly and accurately determine possible fault causes and improvement methods in satellite communication ground station. Finally, through simulation experiments and actual maintenance, the accuracy and reliability of this system are verified. Both maintenance and operation personnel can use this diagnostic method to clarify possible fault causes in satellite communication systems. New staff can quickly enter the independent working stage, thereby effectively improving the work efficiency of the entire maintenance team, reducing time costs, and ensuring the reliability and stability of satellite communication systems.