The practical aspect of using the artificial intellectual technology for building a multidimentional function CFAR for smart-handled LPI radar

• Datum: 2020
• Hauptverfasser: Kosovets, M.A., Tovstenko, L.M.
• Format: Artikel
• Sprache: English
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2020
• Schlagworte: Smart-Handled Radar; LPI (Low Probability of Intercept) Radar; CFAR (Constant False Alarm Rate); IoT (internet of things); artificial Intelligence; Deep learning; Signal processor; Signal-to-Noise Ratio (SNR); UDC 517.9:621.325.5:621.382.049.77
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/422
• Назва журналу: Problems in programming

The problem of the development of modern mobile smart-handled LPI radars using artificial intelligence technologies, the main difference of which is the construction of the CFAR function, which takes into account the influence of external and internal factors and requirements for the purpose, also distinguishes the developed radar among others in its class. The analysis of the publications was showed a great interest in modern radar systems and the lack of a unified approach to solving this problem. The purpose of the article is to reduce this gap, from collecting information from radar sensors and internal sensors to construct a generic multidimensional CFAR function and for organize its effect on the receiving and transmitting part of the radar. The application of artificial intelligence technologies in the construction of a modeling complex of LPI radars with CFAR function and their debugging in real time is covered.Problems in programming 2020; 2-3: 304-312