This product adopts deep learning technology and has a low dependence on signal-to-noise ratio, effectively solving the problem of "low, small, and slow" target detection in complex environments. It realizes the effective detection of low signal-to-noise ratio, slow, and small targets by the radar in complex background environments, and enables the radar to have adaptive capabilities to various battlefield environments. After station reconfiguration, there is no need for parameter debugging, and it can be directly turned on for search, with simple operation. At the same time, it also breaks through the traditional radar methods of MTI+MTD, CFAR, and traditional clutter detection. It has the characteristics of high angle measurement accuracy (azimuth, elevation), extremely low false alarm rate, stable trajectory tracking, and adaptability to target maneuvering flight in complex environments such as cities. It can automatically identify rainy weather environments and effectively suppress meteorological clutter, achieving all-weather work.