The provisional application covers an architecture in which environmental RF sources — such as communication, broadcast, satellite, maritime, aviation, and other ambient RF signals — may be combined with cooperative multi-band illuminator nodes to create a resilient and adaptive sensing environment. These cooperative illuminators may operate as a coordinated distributed layer, supporting wide-area awareness, localized detection, and improved sensing diversity without requiring the receiver network itself to transmit radar illumination.

GhostSight™ is designed to support both long-range awareness and short-range small-object detection within a unified architecture. Lower-frequency RF layers may support detection and tracking of larger or more distant objects, while VHF, UHF, microwave, and related bands may support shorter-range detection and classification of smaller objects, including drones, compact UAVs, and low-altitude threats.

The system is further designed to use AI/ML-based fusion to combine multi-source and multi-band RF observations, evaluate signal quality, reduce false detections, reject ghost targets, classify objects, assign confidence levels, and place detected objects on a live operational map or command interface.