Unmanned aerial vehicle resisting distributed networking detection method and device

Abstract

The invention discloses an unmanned aerial vehicle resisting distributed networking detection method and device. The unmanned aerial vehicle resisting distributed networking detection method comprises the steps that at least two photoelectric infrared composite sensing detection assemblies are enabled to form an unmanned aerial vehicle resisting detection network; each photoelectric infrared composite sensing detection assembly determines the position thereof through a satellite positioning unit; a broadband active phased array radar unit in each composite detection assembly detects and discovers the position of an unmanned aerial vehicle to be detected; a visible light and infrared imaging unit in each composite detection assembly perform focused joint imaging on the unmanned aerial vehicle to be detected; and a plurality of positions of the unmanned aerial vehicles to be detected in the plurality of composite detection assemblies are fused to act as high-precision position output so as to complete stable and accurate tracking for the unmanned aerial vehicle to be detected accordingly, and a plurality of images of the unmanned aerial vehicle to be detected are fused to act as clear and complete image output so as to complete automatic and accurate recognition for the unmanned aerial vehicle to be detected accordingly. The unmanned aerial vehicle resisting distributed networking detection method has the advantages of convenient operation, wide detection area, high capturing rate, excellent positioning accuracy, high recognition rate and the like.

Description

technical field [0001] The invention relates to an anti-UAV detection method and a device thereof, in particular to an anti-UAV distributed network detection method and a device thereof. Background technique [0002] With the rapid development of the drone industry, small drones are increasingly used in various fields such as logistics, search and rescue, and remote sensing mapping. At the same time, disorderly and illegal flying of drones such as indiscriminate flying, black flying, and even using drones to carry out terrorist attacks, sneak shots, smuggle weapons, and drugs is becoming more and more serious, and has become a major hidden danger in the low-altitude field and a threat to public safety. There is an urgent need to study UAV countermeasure technology and develop reliable technical equipment to solve the extensive needs of public security, civil aviation, military and other industries and departments to ensure low-altitude security. [0003] The initial stage o...

AI Technical Summary

Problems solved by technology

Existing anti-drone detection methods and devices mainly use sound waves and electromagnetic active detection methods to detect various types of UAVs including radio silence, and use visible light and infrared imaging methods to identify UAVs, but these devices are single Point detection equipment can only be deployed at a single location for UAV detection, and cannot be deployed at multiple locations for network detection. Limited by the detection angle of view and operating distance, this type of single-point detection device has a small detection range and capture In addition, the interaction between the two stages of UAV discovery and recognition is poor, and the position of the UAV determined in the discovery stage cannot automatically control the visible light and infrared focus imaging in the recognition stage. Manual intervention is required, the operation is complicated, and the detection efficiency is low

The above shortcomings make it difficult for this type of single-point detection device to meet the actual needs of large-scale, efficient and robust detection of UAVs in the low-altitude field

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