High-Performance Anti UAV Radar X-band Short-Range Quad-Cell Radar With Built-In Data Recording And Storage Functionality

  The DD-R36 X-band short-range quad-cell radar is outfitted with a fully solid-state, fully coherent, and pulse Doppler system. This configuration facilitates all-weather detection and early warning of "low, small, slow" targets. By making use of machine learning and AI recognition technologies founded on "micro-Doppler signatures" and "flight path features," the system attains ultra-low false alarm rates. Concurrently, it efficiently detects and classifies a diverse range of targets, including drones, light aircraft, helicopters, powered triplanes, airships, and airborne balloons. 

  The product comes with an extensive array of target monitoring and analysis capabilities. It empowers users to conduct target positioning, display target trajectories, and utilize the playback functions right on the map. Simultaneously, it presents crucial parameters in real - time. These parameters include the target distance, which precisely indicates how far the target is from the monitoring device; the azimuth, specifying the horizontal direction of the target; the elevation, denoting the vertical angle of the target; and the speed, revealing how fast the target is moving.

  Integrated within the system is the built - in data recording and storage functionality. This feature can comprehensively save all the target trajectory data, which details the movement path of the target over time, as well as the radar status information, such as the radar's operating mode and signal strength. This comprehensive data saving is crucial as it supports subsequent data playback for in - depth analysis and query operations, enabling users to retrieve specific data points or time - series data as needed.

  By harnessing AI recognition technology based on "micro - Doppler features" and "track features," the product showcases powerful target classification and identification capabilities. It can accurately distinguish various target types. For instance, it can precisely identify drones, which are becoming increasingly common in various scenarios; birds, often an important factor in environmental and airspace monitoring; people, relevant for security and surveillance applications; and vehicles, whether on land, sea, or in the air.

  The system also integrates advanced machine learning technology. This enables the system to autonomously adapt to the current environment. It can start operating directly without the need for users to manually adjust parameters. This self - adapting feature significantly simplifies the operation process and allows the system to perform optimally in different environmental conditions.

  To ensure reliable all - weather operation, the product is equipped with cloud and rain noise suppression capabilities. These capabilities are designed to effectively eliminate interference under adverse weather conditions, such as heavy clouds or rain, which could otherwise disrupt the monitoring and analysis processes.

  The software interface of the product offers a wide range of flexible parameter configuration options. Users can adjust settings according to their specific requirements. For example, they can modify the elevation coverage to determine the vertical range of the monitoring area, adjust the target update rate to control how frequently new target information is received, and set the monitoring range to define the maximum distance at which the system can detect targets.

  Moreover, the product is equipped with automatic compensation functions for independent positioning, orientation, elevation, and roll angles. These functions play a vital role in ensuring measurement accuracy. Even in situations where external factors might cause slight changes in the device's position or orientation, the automatic compensation functions can adjust the data to maintain accurate measurements.

  During system operation, users can fully monitor the equipment's working conditions through the real - time status monitoring functionality. This allows them to keep a close eye on various aspects of the system, such as power consumption, signal strength, and the status of different components. By doing so, they can ensure the stable and efficient operation of the system, promptly detect any potential issues, and take appropriate measures to address them.