Anti-unmanned aerial vehicle detection tracking interference system and photoelectric tracking system working method

Abstract

The invention provides an anti-unmanned aerial vehicle detection tracking interference system and a photoelectric tracking system working method. The anti-unmanned aerial vehicle detection tracking interference system comprises a radar, a photoelectric tracking system, an unmanned aerial vehicle interference unit and a holder; the photoelectric tracking system comprises a motion detection module,a correlation filtering target tracking module, a deep learning target detection module and a deep learning target tracking module; the radar is in communication connection with the photoelectric tracking system; and the photoelectric tracking system is in communication connection with the holder. According to the anti-unmanned aerial vehicle detection tracking interference system, when target distance is farther, the deep learning target detection module cannot extract target characteristics, and target detection is carried out by using the motion detection module; when the target distance isfarther, under the condition that the deep learning target tracking module cannot extract target characteristics, target tracking is carried out by using the correlation filtering target tracking module; and the problem that the deep learning target tracking module cannot provide degree of confidence is solved by using data of the correlation filtering target tracking module.

Description

technical field [0001] The invention relates to the technical field of anti-UAV tracking, in particular to an anti-UAV detection and tracking interference system and a working method of the photoelectric tracking system. Background technique [0002] In the anti-UAV system, the radar is responsible for searching and finding the target. The photoelectric system controls the pan-tilt lens according to the target angle and distance data provided by the radar to complete the detection, locking and tracking tasks of the target, and then controls the jamming equipment to emit jamming signals to the target. around the aircraft until the drone is driven away. The traditional anti-drone system includes radar, photoelectric tracking device, gimbal, satellite navigation and jamming equipment for remote control signals. The radar is responsible for finding the UAV target and sending the target angle and distance data to the photoelectric tracking device; the photoelectric tracking devi...

AI Technical Summary

Problems solved by technology

At present, the photoelectric system using traditional target detection and target tracking algorithms is easy to lose the target when the drone is hovering, occluded and deformed; while the target detection and tracking algorithm based on deep learning technology

[0003] It has good detection and tracking ability for complete targets in simple scenes, and has strong robustness to scale changes and deformations. It can solve the problems of drone hovering, occlusion and deformation, but it is far away and the target is small. , The detection and tracking effect needs to be improved when the target features are not obvious

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