Munich 13-Sep-2024
ARDRONIS - Rapid detection, advanced technologies and a robust counter-drone system that can effectively address upcoming challenges and protect against the evolving threats posed by drones. (Image: Rohde & Schwarz)
The development of counter-drone technology is a critical endeavor in today's world, where drones pose a growing threat to security and safety. The ability to detect and neutralize malicious drones is essential for protecting critical infrastructure, ensuring public safety, and mitigating potential disasters.
In what ways have UAS threats become more sophisticated in recent years?
The proliferation of malicious and non-cooperative drones has become an increasingly complex and dynamic threat to aviation and critical infrastructure security. In recent years, UAS threats have evolved in several ways, making them more sophisticated and challenging to counter.
The widespread availability of commercial drones has made it easier for malicious actors to acquire and modify them for nefarious purposes. Modern drones often feature advanced navigation systems, longer endurance, and higher payloads, enabling them to stay airborne for extended periods and carry more substantial payloads, including explosives or surveillance equipment.
Some drones now employ artificial intelligence (AI) and machine learning (ML) algorithms, allowing them to adapt to changing environments, evade detection, and even autonomously select targets. The use of multiple drones in coordinated attacks, also known as swarm attacks, has become a growing concern, as it can overwhelm traditional air defense systems and create a higher likelihood of successful penetration.
Furthermore, as drones become more connected and reliant on wireless communication protocols, they also become more vulnerable to cyber-attacks, which can be used to disrupt or hijack drone operations. Additionally, some drones are now designed with stealth capabilities, making them harder to detect using traditional radar systems. Malicious actors can also use GPS spoofing and jamming techniques to disrupt drone navigation systems, making it difficult to track and respond to UAS threats.
To effectively counter these evolving threats, early warning and detection are crucial. Protective measures can only be taken after a threat is detected, and every second counts in responding to a UAS threat. Therefore, reliable and affordable counter-drone solutions are essential for civil and government organizations, as well as agencies responsible for protecting sensitive sites and critical national infrastructure.
How has counter-UAS technology evolved over the years to counter these threats?
CUAS technology has undergone significant evolution over the years to address the growing threat of malicious drones. Initially, CUAS solutions were primarily focused on detecting and tracking drones using light, radar or electro-optical (EO) and infrared (IR) sensors to provide visual detection and tracking capabilities. However, as the threat landscape has expanded, CUAS technology has advanced to incorporate a range of innovative solutions.
Early CUAS systems relied on traditional radar systems, which were often ineffective against small, low-flying drones. In response, manufacturers developed specialized radar systems that could detect and track drones more effectively. These systems often employed advanced signal processing algorithms and phased array antennas to improve detection and tracking capabilities.
The integration of radio frequency (RF) sensors has also become a key component of CUAS systems. RF sensors can detect the unique radio frequency signals emitted by drones, allowing for more accurate detection and tracking. This technology has been further enhanced through the use of machine learning algorithms, which can analyze RF signals to identify specific drone types and even predict their behavior.
Another significant advancement is the development of non-kinetic countermeasures, such as radio frequency (RF) jamming and cyber countermeasures. These solutions can be used to disrupt or hijack drone operations, providing a more effective and safer alternative to traditional kinetic countermeasures.
Furthermore, the use of artificial intelligence (AI) and machine learning (ML) has become increasingly prevalent in CUAS systems. AI-powered systems can analyze data from multiple sensors to detect and track drones more accurately, while also predicting their behavior and identifying potential threats.
The development of modular, scalable, and networked C-UAS systems has also improved the effectiveness of counter-drone operations. These systems can be easily integrated with existing security infrastructure, allowing for seamless communication and coordination between different sensors and effectors.
Finally, the integration of C-UAS systems with other security systems, such as access control and surveillance systems, has become more prevalent. This integration enables a more comprehensive and layered approach to security, allowing for more effective detection, tracking, and response to UAS threats.
Overall, the evolution of C-UAS technology has been driven by the need to address the growing threat of malicious drones. As the threat landscape continues to evolve, it is likely that C-UAS technology will continue to advance, incorporating new innovations and solutions to stay ahead of the threat.
What are some of the biggest technological obstacles in developing counter-UAS solutions?
When it comes to countering drones, time is of the essence. Malicious or non-cooperative drones must be detected as early as possible to give decision makers the maximum time possible to respond to threats and avert potentially disastrous consequences. When protecting critical infrastructure, however, it is essential to avoid any negative impacts on day-to-day operations, which can threaten economic prosperity.
However, the development of effective counter-drone solutions presents significant technological challenges, including the need for rapid detection, precision, and minimal disruption to legitimate drone operations. By combining advanced technologies like AI, machine learning, and sophisticated sensors with effective operational procedures, it is possible to create a robust counter-drone system that can effectively address these challenges and protect against the evolving threats posed by drones.
How do you see UAS and counter-UAS technology developing in the future?
The development of UAS and their corresponding countermeasures is a rapidly evolving field driven by technological advancements and geopolitical considerations.
UAS are becoming increasingly autonomous, capable of complex tasks without human intervention. This includes advanced navigation systems, object recognition, and decision-making abilities. Additionally, UAS are becoming smaller, more agile, and equipped with more sophisticated payloads, including high-resolution cameras, advanced sensors, and even weapons. The integration of AI and machine learning is further enhancing UAS performance in areas like target identification, mission planning, and data analysis.
CUAS technology is also evolving to address the growing threat posed by UAS. This includes advanced detection systems, jamming and spoofing techniques, kinetic and non-kinetic neutralization methods, and integrated defense systems.
The future is likely to be characterized by rapid innovation and increased complexity.
In what ways is your company working to tackle this challenge?
ARDRONIS Locate Compact from Rohde & Schwarz is a family of counter-drone solutions that provides a comprehensive and integrated approach to detecting, identifying, locating, tracking, verifying, and countering malicious and non-cooperative drone threats. By adopting a system-of-systems approach, ARDRONIS offers customers the flexibility to tailor the solution to their unique, end-user requirements, ensuring that they can effectively address the specific drone threats they face.
Overall, ARDRONIS from Rohde & Schwarz provides a powerful and flexible counter-drone solution that can be tailored to meet the unique needs of customers. By detecting, identifying, locating, tracking, verifying, and countering malicious and non-cooperative drone threats, ARDRONIS helps to protect people, property, and critical infrastructure from the growing threat of drones.
How does this work?
When ARDRONIS detects commercial drone activity, it automatically triggers a sophisticated classification process, which rapidly identifies the type of drone signal being used. This information is critical in determining the potential threat posed by the drone, as different types of drones can have varying levels of capability and intent.
Once the drone signal has been classified, ARDRONIS uses advanced direction-finding techniques to determine the direction of the drone and its pilot. This information is essential in understanding the drone's flight path and potential target, allowing for more effective countermeasures to be taken.
To prevent the drone from reaching its target, ARDRONIS can disrupt the radio control link between the drone and its pilot. This is achieved through the use of advanced jamming techniques, which can be tailored to the specific frequency and modulation used by the drone. By disrupting the control link, ARDRONIS can effectively neutralize the drone threat, preventing it from causing harm to people, property, or critical infrastructure.
Are there any new advancements with ARDRONIS?
Rohde & Schwarz offers a comprehensive solution for advanced drone identification and geolocation, known as ARDRONIS Locate Advanced and ARDRONIS Detect. These are designed to detect and locate drones and their operators, providing immediate notification of the presence of radio signals from commercial drones. Security personnel can then respond effectively.
Direction finding (DF) functionality delivers two key parameters: the direction of the operator (RC signal DF) and the direction of the drone itself (telemetry or video downlink signal DF). By comparing measured RC drone signals with an extensive library of drone profiles, the solution provides reliable early warning of any threats in the coverage area. It detects FHSS signals (remote control, telemetry) as well as analog and digital video signals. This information enables a fast and effective response to potential threats.
Key benefits include fully automatic high-speed detection, classification, and identification of analog and digital video signals, as well as FHSS signals; alongside early warning capabilities, detecting RC activity even before drones take off, allowing for prompt action to be taken. Furthermore, the system's weatherproof design and robust construction ensure that it can be deployed in various operating environments, with minimal maintenance required.
Overall, the ARDRONIS solution provides customers with a comprehensive and effective solution for detecting and responding to drone-based threats, giving them the confidence and security, they need to protect their people, assets, and operations. Rohde & Schwarz is committed to providing high-quality solutions that meet the needs of its customers. The company's focus on sustainable product design, environmental compatibility, and energy efficiency ensures that its products are not only effective but also environmentally friendly. With its comprehensive range of drone detection and identification solutions, Rohde & Schwarz is well-positioned to support customers in addressing the growing threat of drones.
Thank you.
Press & media contact
Dennis-Peter MerklinghausPR Manager Aerospace, Defense & Security
+49 89 4129 15671
press@rohde-schwarz.com
Rohde & Schwarz
Rohde & Schwarz is striving for a safer and connected world with its Test & Measurement, Technology Systems and Networks & Cybersecurity Divisions. For 90 years, the global technology group has pushed technical boundaries with developments in cutting-edge technologies. The company's leading-edge products and solutions empower industrial, regulatory and government customers to attain technological and digital sovereignty. The privately owned, Munich based company can act independently, long-term and sustainably. Rohde & Schwarz generated net revenue of EUR 2.78 billion in the 2022/2023 fiscal year (July to June). On June 30, 2023, Rohde & Schwarz had around 13,800 employees worldwide.
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