VisionWave Files Provisional Patent Application for GhostSight™, a Hybrid Passive Radar Architecture Using Intelligent Cooperative Illumination

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SAN DIEGO, July 17, 2026 (GLOBE NEWSWIRE) -- VisionWave Holdings, Inc. (NASDAQ: VWAV) (the "Company" or "VisionWave") today announced the filing of a provisional patent application number 64/111,834 with the United States Patent and Trademark Office covering GhostSight™, a proposed radar and RF sensing architecture designed to enhance detection, tracking, classification, and situational awareness across defense, security, critical-infrastructure, maritime, and airspace-protection environments. GhostSight™ is designed as a hybrid passive radar system that may use both existing environmental RF signals and VisionWave-controlled cooperative illumination sources to detect and interpret objects within an area of interest. Unlike conventional active radar systems, which rely on a centralized transmitter and may expose the radar site through their emissions, GhostSight™ is being designed around a passive receiver layer that can remain receive-only while the illumination environment is intelligently shaped by distributed RF sources. 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. "We believe GhostSight™ represents a new direction in radar architecture," said Danny Rittman, The Company's CTO . "Rather than relying only on a conventional radar transmitter or only on uncontrolled ambient RF sources, GhostSight™ is intended to create an intelligent sensing environment that can adapt to the mission, the RF landscape, the target type, and the condition of the network."

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