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

An optoelectronic tracking system, tracking interference technology, applied in radio wave measurement systems, measurement devices, and radio wave reflection/re-radiation, etc. The effect of the watch

Pending Publication Date: 2019-11-01
深圳耐杰电子技术有限公司
View PDF0 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anti-unmanned aerial vehicle detection tracking interference system and photoelectric tracking system working method
  • Anti-unmanned aerial vehicle detection tracking interference system and photoelectric tracking system working method
  • Anti-unmanned aerial vehicle detection tracking interference system and photoelectric tracking system working method

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0070] Example:

[0071] Object detection models based on deep learning such as image 3 shown. First, a selective search algorithm is used to extract a suitable amount of candidate regions from regions in the current frame image. Then, the scale of the candidate area is normalized, and the target feature expression of the candidate area is extracted through the pre-trained convolutional layer. The convolutional layer is followed by a fully connected layer. SVM is used as a classifier to distinguish whether the target is a drone, and Output the position and confidence information of the drone.

[0072] The object tracking model based on deep learning such as Figure 4 shown. In this model, the tracking target area and the target area to be tracked are simultaneously fed into the convolutional neural network. These two convolutional neural networks have the same model structure and share parameters. The two convolutional neural network models are almost identical except fo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01S7/38G01S13/86
CPCG01S7/38G01S13/86
Inventor 董刚霞成文高享林黄渊胜
Owner 深圳耐杰电子技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap