Use of modern performance control systems in antenna complexes

The article examines modern methods for ensuring the reliability of antenna measurement complexes (AMCs), critical for satellite communication, radar, and telecommunications. Outdated approaches to fault identification and performance monitoring, such as periodic checks and visual inspections, are discussed, noting their time consumption and potential for serious errors. Given the high cost of experiments and stringent accuracy requirements, these traditional methods are insufficient. The implementation of continuous performance monitoring systems (CPMS) is proposed, utilizing modern technologies including machine learning and artificial intelligence. Key components of CPMS architecture are considered, including the hardware level with sensors and built-in test equipment, the software level for data aggregation and analysis, and the intelligent analytics level for prediction and diagnostics. Expected benefits of CPMS implementation are described in terms of increased measurement accuracy, reduced downtime, and a shift to condition-based maintenance. The conclusion emphasizes the relevance of integrating CPMS into enterprise organizational structures for maximizing the efficiency of high-tech antenna measurement systems. The article is of interest to specialists in telecommunications, radio engineering, and automation.