Threats facing the U.S. Navy and U.S. Marine Corps are evolving rapidly, making innovations in early-warning architectures critical. Shipboard radar systems are progressing far quicker than what was previously possible because of the exploitation of modern-day technologies like gallium nitride (GaN) components and continuous software deployment, automated testing, and digitization. To better enable the development of these systems, naval researchers and electronics providers are looking to utilize commercial off-the-shelf (COTS) products, open architectures, and even artificial intelligence (AI) and machine learning (ML).
