As the number of satellites and space debris increases, ensuring the safety of our orbital assets has become paramount. Traditional ground-based monitoring systems are being complemented by innovative approaches to enhance Space Domain Awareness (SDA). One such advancement is the development of portable radar systems capable of detecting satellites, aircraft, and other objects in the sky. Researchers at the International Centre for Radio Astronomy Research (ICRAR) have created a system designed for SDA, which could detect objects like the high-altitude balloon shot down by the U.S. Air Force off the coast of South Carolina. icrar.org
In addition to radar systems, artificial intelligence (AI) and machine learning (ML) are playing a crucial role in SDA. The U.S. Space Force has been testing AI/ML algorithms, particularly Bayesian neural networks, to improve the prediction and classification of space objects. These algorithms have shown promise in providing performance trade-offs relevant to risk-based SDA decision-making, offering advantages over traditional processes. rand.org