State-of-the-art Low-Cost AESA Technology using Silicon RFICs

AESA technology today is ubiquitous, both in SATCOM and in 5G. This was achieved using great advances in silicon BFICs, high density printed-circuit boards and advanced antenna design and integration. The results are outstanding: SATCOM phased-arrays at Ku-band and Ka-band now cost $500 each (down from $500,000!!) and mm-wave phased-arrays for 5G are now built in the hundreds of millions of units. This is also being applied to high volume radar arrays in the X, Ku and Ka-band frequency ranges. Advances in this technology, including wideband phased-arrays at 6-18 GHz and 18-50 GHz, and phased-arrays at 60 GHz to 150 GHz, will also be presented.

Machine Learning in Electromagnetics: Applications in Space Technology

Machine learning (ML) focuses on developing algorithms that learn from past experiences to improve accuracy and enhance decision-making over time. By leveraging patterns in data, ML enables systems to adapt and evolve, making it a transformative tool across multiple disciplines. It has been widely applied in various fields, particularly in engineering and computer science, where complex data analysis is critical, and traditional mathematical or analytical solutions are insufficient. Today, practical applications of ML span diverse domains, including robotics, drones, autonomous vehicles, data mining, facial recognition, stock market prediction, and security-related tasks such as target classification and surveillance. Additionally, ML plays a pivotal role in optimizing engineering designs, offering innovative, autonomous, reliable, and efficient solutions tailored to modern challenges.

This presentation will delve into the applications of ML within the field of electromagnetics, emphasizing advancements in space-related technologies. Specific topics include antenna array beamforming, angle of arrival detection, computational electromagnetics, reconfigurable antennas, reconfigurable intelligent surfaces, satellite communications, and other critical aspects of electromagnetic systems. By integrating ML into these areas, we unlock new possibilities in precision, adaptability, and performance, enabling groundbreaking innovations in space exploration and communication technologies.