The Research About Adaptive Active Recognition and Tracking Technology of Fast Target Image Strength

The distance change of the target distance tracking system will cause the image of the optical system to change in terms of size, radiation intensity, and target point jitter. When the laser is used for active detection, this change in distance will cause the echo strength to change in square relation. When the detection is strong or weak, the tracking will have gray Overflow, unclear imaging, difficult to lock the target point, and stable follow. In this paper, an adaptive laser divergence angle control method is proposed to match the distance between the target point and the passive imaging system. The algorithm model is established to solve the instability of echo intensity by adjusting the scattering angle of illumination laser and matching the image post-processing algorithm. Through the echo imaging test, it is found that the laser echo grayscale of fast targets in the range of 1 to 10 km can be stabilized between 4000 and 5000. Compared with the 600-17000 results, the method can greatly reduce the change of gray scale caused by the change of target distance and improve the system's ability of active identification and tracking.