Introduction to Anti-UAV system and technology

1. -Detection Technologies: The detection module is one of the key components of an anti- UAV system, which integrates various sensors to "detect" or “locate " potential threats. It utilizes the physical properties of the target drones (such as optical, thermal, acoustic, and magnetic characteristics) to detect and identify the target UAV.

- Radar Detection Technology: it operates by emitting electromagnetic waves and receiving the echoes to determine the position, speed, and other information of UAVs . It allows long-range, all-weather monitoring and has advantages such as long detection range and strong resistance to interference.

- RF Detection Technology: it identifies and analyzes the radio signals associated with the communication between UAVs and remote control station (RCS). It is low-cost, efficient, and easy to implement.

- Optical and Infrared Sensor Technology: Using cameras and infrared detectors, it monitors and identifies UAVs by capturing images or infrared signals. It allows for fast location and tracking of UAVs, offering advantages such as quick response and high identification accuracy.

- Acoustic Sensor Technology: it captures the sound signals generated by the UAV during flight to identify and locate it. It is particularly suitable for monitoring low-altitude, slow-moving drones and offers benefits such as high concealment and cost-efficient.

- Sensor Fusion Detection Technology: it enhances situational awareness and supports effective counter-UAV measures. Currently, research in this field focuses on integrating diverse sensors and employing artificial intelligence to improve UAV detection and identification capabilities.

2. Integration of Radar Detection Technology with Infrared and Optoelectronic Detection Technology in Anti-UAV Systems

(1) Warning Radar: As one of the most advanced detection devices, it can accurately locate targets. However, since radar detects targets by emitting and receiving electromagnetic waves of a single frequency, it can only present a single-color target indicator image on the system's display interface, making it difficult to distinguish between different target attributes. For example, birds are often mistaken as interference targets in radar reflection images. Experienced radar operators may make certain attribute judgments based on the size and motion trajectory of the target, but this still lacks a definitive basis for confirmation.

Software simulation of radar targets

(2) When the radar transmits the positional data of a distant, suspected target to the video system, high-speed pan-tilt-zoom(PTZ) cameras can quickly search for low-altitude targets, track them, and capture images or infrared signals of the UAV. Optical images align with human perception of the natural world, making it easy to distinguish target attributes on clear optical images—whether the target are drones, birds, or floating objects in the air. By combining advanced image processing technologies, the optoelectronic tracking system enables automatic target recognition and classification, enhancing operational efficiency and providing accurate information for subsequent measures.

3. Market Analysis of Anti-UAV Systems

(1) Market Size: According to a report from the U.S. market research company MarketsandMarkets, the global anti-UAV market was valued at $2.16 billion in 2024 and is expected to reach $7.05 billion by 2029, with a compound annual growth rate (CAGR) of 26.7% during the forecast period. With the rapid development and the increasing application of drones, countries are bound to invest more in the research, development, and procurement of anti-UAV technologies. The market size of the anti-UAV industry is expected to grow significantly in the future.

(2) Industry Chain Analysis: The upstream of the anti-UAV industry chain includes various sectors such as steel, integrated circuits, sensors, and communications. The downstream demand is mainly concentrated in airports, government agencies, large-scale events, and commercial activities.