X-Band Radar Machine Learning And AI Recognition For Target Detection And Classification Of Airborne Targets

  The DD-R37 X-band long-range quad-cell radar is configured with a fully solid-state, fully coherent, and pulse Doppler system. This empowers it to carry out all-weather detection and early warning of "low, small, slow" targets. By leveraging machine learning and AI recognition technologies grounded in "micro-Doppler signatures" and "flight path features," the radar can effectively detect and classify a diverse range of targets. These targets encompass drones, light aircraft, helicopters, powered triplanes, airships, and airborne balloons, all while maintaining an extremely low false alarm rate. The radar is outfitted with a two-dimensional phase scanning system. This system can be extended to configurations such as "azimuth mechanical scanning + elevation phase scanning" or multi-cell arrays to satisfy a broad spectrum of application requirements. 

  The product is equipped with a comprehensive set of target monitoring and analysis capabilities. It enables precise target positioning on the map, and not only can it display the target's trajectory in real - time, but also offers a playback function for users to review past movements. While doing so, it simultaneously and instantaneously presents crucial parameters like the target distance, azimuth, elevation, and speed. This allows operators to have a complete and up - to - date understanding of the target's state.

The system comes with an in - built data recording and storage functionality. This feature is designed to comprehensively save all relevant target trajectory data, as well as detailed radar status information. This comprehensive data storage is highly beneficial as it fully supports subsequent data playback and query operations. Such operations are essential for in - depth analysis, post - mission reviews, and forensics.

  By leveraging AI recognition technology that is founded on "micro - Doppler features" and "track features," the product showcases powerful target classification and identification capabilities. It can accurately distinguish between a wide variety of target types, including drones, which are becoming increasingly common in modern scenarios, birds that might be confused with other flying objects, people on the ground or in the air, and vehicles moving on various terrains.

Integrating advanced machine learning technology, the system has the remarkable ability to autonomously adapt to the current operating environment. This means that it can start its operation directly without the need for manual parameter adjustment. This self - adapting feature significantly simplifies the operation process, reduces human error, and allows the system to function optimally in different and often changing scenarios.

  To ensure reliable operation around the clock and in all weather conditions, the product is equipped with cloud and rain noise suppression capabilities. This feature effectively mitigates the interference caused by adverse weather conditions such as clouds and rain, ensuring that the system can maintain its performance and accuracy regardless of the external environment.

The software interface of the product offers flexible parameter configuration options. Users can customize settings according to their specific requirements. For example, they can adjust the elevation coverage to focus on specific altitude ranges, modify the target update rate to balance between real - time data acquisition and system resource consumption, and set the monitoring range according to the area they want to monitor.

  In addition, the product is equipped with automatic compensation functions for independent positioning, orientation, elevation, and roll angles. These functions play a crucial role in ensuring the measurement accuracy of the system. Even when the equipment is subject to external factors that may affect its position or orientation, these compensation functions can correct the data and maintain high - precision measurements.

  During the system's operation, users can make full use of the real - time status monitoring functionality to comprehensively monitor the equipment's working conditions. This enables them to detect any potential issues promptly and take appropriate measures, thus ensuring the stable and efficient operation of the entire system.