Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A real-time automatic detection and recognition method for UAV signals

A recognition method and automatic detection technology, applied in wireless communication, character and pattern recognition, computer parts and other directions, can solve problems such as inability to effectively discriminate drones, drone interference, limited recognition range, etc., to reduce real-time Bandwidth dependence, increasing recognition types, increasing the effect of receiving range

Active Publication Date: 2022-03-22
中国人民解放军32802部队
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the UAV monitoring system cannot effectively distinguish UAVs from various interference signals. Provide the basis for eviction

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
  • A real-time automatic detection and recognition method for UAV signals
  • A real-time automatic detection and recognition method for UAV signals
  • A real-time automatic detection and recognition method for UAV signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0059] The invention discloses a real-time automatic detection and identification method suitable for unmanned aerial vehicle signals. According to the signal characteristics of the signals used by the unmanned aerial vehicles, the signals are divided into two types of signals: a specific system and a WiFi system. Specific system signals include the Ocusync system, Lightbridge system, and frequency hopping system used by the image transmission signal. The WiFi system makes the signal for the image transmission signal. The steps include:

[0060] S1, using a signal receiving device for a specific system signal, output the full-band spectrum data and IQ data stream of the received specific system signal, and perform fast Fourier transform on the IQ data stream to obtain the spectrum information data of the received signal, so The spectrum ...

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 real-time automatic detection and identification method suitable for unmanned aerial vehicle signals. The unmanned aerial vehicle signals are divided into two types: a specific system and a WiFi system. The steps include: adopting a signal receiving device for a specific system signal, outputting its Full-band spectrum data and IQ data stream; use power spectrum cancellation method for noise reduction processing, and then remove random noise signals; extract characteristic parameters, match them with parameters in the database, classify and identify them; The signal is detected and identified, and the MAC address of the WiFi system UAV signal obtained by parsing is matched and identified with the known MAC address of the UAV manufacturer, so as to realize the detection of the UAV using the WiFi system signal. The present invention can realize the real-time recognition of the UAV signal of the specific system and the WiFi system at the same time by reasonably classifying the signal system of the UAV, and reduces the probability of missed detection of the UAV signal.

Description

technical field [0001] The invention belongs to the field of digital signal processing, and in particular relates to a real-time automatic detection and recognition method suitable for UAV signals. Background technique [0002] Among the existing UAV identification and detection technologies, UAV signal monitoring algorithms based on active radar detectors, acoustic array recognition, infrared spectrum recognition and visual recognition have been proposed. At a distance, active radar and visual recognition detection systems are usually difficult to distinguish UAVs from birds, while the actual effective detection range of the acoustic array UAV identification method is small, and the infrared spectrum UAV identification method is easily interfered by other heat sources. [0003] According to the signal system adopted, drone signals can be divided into two categories: specific system and WiFi system. System-specific signals mainly include DJI’s Ocusync system, Lightbridge sy...

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 Patents(China)
IPC IPC(8): H04B17/309H04B17/318H04B17/336H04W24/08G06K9/00G06K9/62
CPCH04B17/309H04B17/318H04B17/336H04W24/08G06F2218/08G06F2218/12G06F18/22G06F18/24
Inventor 赵健温志津刘阳鲍雁飞雍婷张清毅
Owner 中国人民解放军32802部队
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com