Classification and identification method for small light unmanned aerial vehicles and birds based on radar data

A technology of classification and identification, radar data, applied in radio wave measurement systems, radio wave reflection/re-radiation, utilization of re-radiation, etc.

Active Publication Date: 2017-03-29
CHINA ACAD OF CIVIL AVIATION SCI & TECH
View PDF5 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the characteristic information such as the scattering cross section, flight speed, and flight height of biological targets such as birds in the low-altitude airspace are close to those of light and small UAVs. It is difficult for existing low-altitude surveillance radars to distinguish them. police

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
  • Classification and identification method for small light unmanned aerial vehicles and birds based on radar data
  • Classification and identification method for small light unmanned aerial vehicles and birds based on radar data
  • Classification and identification method for small light unmanned aerial vehicles and birds based on radar data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0054] The radar data-based classification and recognition method for light and small unmanned aerial vehicles and flying birds proposed by the present invention will be illustrated and described below in conjunction with the tracking and recognition results of radar targets in the two-dimensional space in the accompanying drawings.

[0055] It is difficult for general low-altitude airspace radar surveillance systems to distinguish light and small UAVs from flying bird targets. The classification and recognition method for light and small UAVs and flying birds based on radar data is suitable for radar target tracking in complex low-altitude environments, and can eliminate flying bird targets, significantly Improve the target recognition capability of the low-altitude airspace radar surveillance system.

[0056] Figure 2-6 It is a schematic diagram of the radar target tracking and recognition process of the embodiment of the present invention, including the target trajectory t...

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 discloses a classification and identification method for small light unmanned aerial vehicles and birds based on radar data. The classification and identification method for small light unmanned aerial vehicles and birds put forward by the invention is based on target measurement information acquired by radar. Through the four steps of multi-model target tracking, multi-model probability extracting, target motion pattern judging and target motion feature extracting, the target features of a target motion model such as the transformation frequency are extracted finally to distinguish between a small light unmanned aerial vehicle target and a bird target. The defect that a radar surveillance system cannot distinguish between a small light unmanned aerial vehicle and a bird in a low-altitude airspace is overcome. Target motion characteristics are extracted based on radar data to distinguish between a small light unmanned aerial vehicle target and a bird target. The identification capability of a radar surveillance system in a low-altitude airspace is improved.

Description

technical field [0001] The invention relates to a classification and recognition method for light and small unmanned aerial vehicles and flying birds based on radar data, belongs to the technical field of radar target tracking, and relates to radar signal feature extraction and target recognition and classification. Background technique [0002] In recent years, the number of commercial-grade light and small drones has grown rapidly. Light and small UAVs are typical "low, slow, and small" targets, which refer to a type of aircraft with low flying altitude, slow speed, and small target scattering cross-section. , It is difficult to detect and identify, and more importantly, commercial-grade light and small UAVs are easy to be used by terrorists, which seriously threatens national air defense security. [0003] Complex low-altitude surveillance radars have been widely used in low-altitude airspace security surveillance in important sensitive areas and border areas. This type...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66G01S7/41
CPCG01S7/411G01S13/66
Inventor 陈唯实李敬
Owner CHINA ACAD OF CIVIL AVIATION SCI & TECH
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