RAFAEL Demonstrates BNET and FIRE WEAVER to German Army

Completes Phase Two of Bundeswehr Transparent Battlefield Study

RAFAEL has completed the second phase of Germany’s Transparent Battlefield study, conducting a demonstration of its BNT software-defined radio (SDR) and FIRE WEAVER sensor-to-shooter capabilities for the German Army, the company announced on 14 January.

The second phase of the study included a demonstration of live traffic from the Aeronautics PEGASUS drone, along with FIRE WEAVER, all carried over a BNET network featuring handheld and vehicular SDR. The event was hosted by Atos Information GmbH, prime contractor for the study, whose C2 software also formed a part of the demonstration.

BNET is a spectrum-aware SDR – maximizing use of the spectral arena of the battlefield in a cognitive manner, using multi-frequency channel reception (MCR), which enables it to receive and analyze information from multiple frequency channels simultaneously, using a single RF head.

The networked FIRE WEAVER system provides tactical units with a GPS-independent geo-pixel-based common language between all sensors and shooters, offering optimal situational awareness and improved understanding of the battlefield. It uses RAFAEL’s advanced AI algorithms, processes the battle data, analyzes it, and prioritizes fire allocation.

RAFAEL and Atos Information have partnered in creating the Transparent Battlefield programme, in which UAS and AFVs are used to create a 3D picture of mobile operations in real time. Further phases of the project are anticipated in the future.

Today’s battlefields are undergoing far-reaching changes that affect the operational needs of land, air and naval forces, with newly emerging real-time applications, such as sensor-to-effector cycle closure systems. Rising to meet these challenges, and relying on decades of experience in the development of C4I solutions, Rafael has developed the BNET family, enhanced with patented technology, and the FIRE WEAVER, a high-precision, three-dimensional, GPS-independent common visual language system. Integration of these systems into the Bundeswehr will lead to a number of significant changes – it will provide a common visual language among different types of units, not only from the Bundeswehr, but also from allied forces, which share the same threats and missions, connecting multiple sensors and shooters on one single ‘flat’ network,” explained Yoav Wermuth, VP and Head of RAFAEL’s C3I Directorate.

For a brief video outlining BNET’s capabilities, click here:

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Publish date

01/15/2021

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