Application of dynamic phased antenna arrays through adaptive control based on machine learning

The article discusses the use of active phased array antennas through adaptive control based on machine learning. It is noted that the development and implementation of dynamic beamforming strategies in active phased array antennas (APAA) is aimed at optimizing and increasing their adaptability to specific scenarios and performance in dynamic communication and radar systems. The ability to dynamically adapt radiation patterns in response to changing system requirements, user requests, signal quality and interference levels through the integration of machine learning techniques and real-time feedback mechanisms helps improve the efficiency and responsiveness of APAA operational capabilities, promoting the development of intelligent and adaptive control systems in a wide range of applications. context of communications and radar technologies.