ASUL Defense System: Strengthening Counter-Drone Capabilities
Germany has officially engaged Hensoldt to bolster the ASUL defense system’s capabilities against unmanned aerial vehicles (UAVs). This modular counter-drone system is engineered to seamlessly integrate into broader air defense frameworks, enabling real-time detection, classification, identification, and engagement of small drones. By leveraging a combination of scalable sensors and systems, including both active and passive radar as well as electro-optical technologies, ASUL is positioned to significantly enhance the operational readiness of Germany’s defense forces.
In light of recent operational feedback and advancements in technology, Hensoldt is set to upgrade the ASUL platform. The objective is to adapt to the evolving needs of the Bundeswehr by incorporating state-of-the-art sensor technologies and refining software systems. Notably, ASUL was originally developed by ESG Elektroniksystem- und Logistik-GmbH, a subsidiary of Hensoldt, and was made operational for the German Armed Forces in 2022.
Modular Design and Functionality
The ASUL system comprises two distinct container-based units, each serving a specific purpose. The first unit, which is a 10-foot (3-meter) module, focuses on the detection and identification of potential aerial threats. This module is equipped with an extendable mast that houses three radars, alongside day and night cameras and a radio frequency direction finder, enabling it to detect drone signals and potentially locate their operators.
In contrast, the second unit is a larger 20-foot (6-meter) module designed for threat response. It features a high-power, remote-controlled jammer capable of disrupting drone communications over distances of several kilometers. This dual-unit structure not only enhances the system’s detection capabilities but also provides an effective response mechanism against possible drone incursions.
Advanced Software Integration
A key component of the ASUL system is its integration of the Elysion Mission Core software. This advanced software utilizes artificial intelligence algorithms to process and fuse data from various real-time sensors. This allows operators to receive timely and informed options for responding to potential threats, enhancing the decision-making process during critical situations.
When a potential threat is detected, the operator is promptly alerted to evaluate whether the drone poses a significant risk. Following this assessment, the jammer can be activated to disrupt the drone’s communication with its controller, typically causing the drone to hover in place. This immobilization provides the operator with the necessary time to make assessed and strategic decisions based on the threat level.
