Neural Net: The Future of Cooperative Air Combat Networking
By the early 2030s, the battlespace had become a complex web of stealth aircraft, advanced electronic warfare systems, and multi-domain sensor fusion. Traditional cooperative radar techniques, while revolutionary in the early 2000s, were increasingly vulnerable to sophisticated jamming, signal interception, and pattern exploitation. The Swedish Air Force’s response to these emerging threats was Radar-Samverkan 2.0, codenamed “Neural Net” — a distributed, AI-driven, multi-platform combat network designed to remove single points of failure and extend the survivability of both manned and unmanned assets. Built around the Gripen E Block IV, Saab’s GlobalEye AEW&C, and MQ-28 Ghost Bat drones, Neural Net represented not just an upgrade, but a complete rethinking of how air forces cooperated in high-threat environments. 1. Scramble & Takeoff A. F 21 Wing, LuleĆ„ — Swedish/NATO Perspective Year 2032. Snow whipped across the hardened shelters as the alert horn blared. Lieuten...