Leonardo unveils Guardian Vantage electronic warfare system

Leonardo unveils Guardian Vantage passive electronic warfare system (X @LDO_Electronics)
Leonardo unveils Guardian Vantage passive electronic warfare system (X @LDO_Electronics)

Leonardo has unveiled Guardian Vantage as a new land-based electronic warfare and signals intelligence solution designed for modern battlefield operations.

The system was presented during AOC Europe 2026 in Helsinki and was developed to detect enemy emissions without transmitting any signal of its own, allowing military forces to monitor threats without being identified.

The platform uses passive sensors to capture signals emitted by radars, drones, communication networks and enemy electronic systems. This information is compared with an internal database, allowing the system to identify the type of equipment detected, its location and the level of threat it represents.

In addition, Guardian Vantage can analyze operational patterns and provide indications of possible future actions by the adversary.

Another important feature is the ability to transcribe radio communications in real time and automatically translate foreign languages using artificial intelligence. The system can also operate connected to multiple networked sensors, increasing the accuracy of target location through triangulation. Leonardo says the equipment was developed with low energy consumption and compact dimensions, making it easier to install on different types of military vehicles.

The presentation of Guardian Vantage comes amid growing international focus on electronic warfare after recent conflicts in Ukraine highlighted the importance of dominance over the electromagnetic spectrum.

Signal jamming, counter-drone operations and electronic detection have become central elements of modern military operations, leading companies and armed forces to accelerate investments in technologies capable of providing information superiority on the battlefield.

Source and images: Leonardo | This content was created with the help of AI and reviewed by the editorial team

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