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

A UAV detection method in clutter environment based on cepstrum analysis

A detection method and unmanned aerial vehicle technology, applied in the direction of radio wave measurement systems, instruments, etc., can solve the problems of low accuracy, achieve the effect of reducing false alarms, reducing noise variance, and simple calculation

Active Publication Date: 2022-01-21
HARBIN INST OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method for detecting drones in clutter environments based on cepstrum analysis for the problem of low accuracy when detecting hovering drones in clutter environments in the prior art

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 UAV detection method in clutter environment based on cepstrum analysis
  • A UAV detection method in clutter environment based on cepstrum analysis
  • A UAV detection method in clutter environment based on cepstrum analysis

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0032] Specific implementation mode one: refer to figure 1 Specifically illustrate this embodiment, a kind of cepstrum analysis-based UAV detection method in a clutter environment described in this embodiment includes the following steps:

[0033] Step 1: Obtain the original echo data, and then perform pulse compression on the original echo data to obtain the pulse pressure data s 0 (r,n), where r represents the distance unit, and n represents the number of pulses. Perform Doppler processing on N pulses to obtain the RD spectrum s 1 (r,d), in the RD spectrum s 1 On (r, d), the unit average constant false alarm detection is carried out, and the preliminary detection result is obtained, that is, the point trace of the potential target, and the distance unit is R bin ;

[0034] Step 2: Use cepstrum analysis to screen the preliminary detection results, that is, the dot traces of potential targets, identify whether they are clutter or targets, and then eliminate the clutter.

...

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

A method for detecting drones in clutter environments based on cepstrum analysis, relating to the technical field of radar target detection, aiming at the problem of low accuracy when detecting hovering drones in clutter environments in the prior art, including step 1: Obtain the original echo data, and then perform pulse compression on the original echo data to obtain the pulse pressure data s 0 (r, n), where r represents the range unit number, n represents the pulse number, and perform Doppler processing on N pulses to obtain the RD spectrum s 1 (r, d), d represents the Doppler unit number, in the RD spectrum s 1 On (r, d), the unit average constant false alarm detection is carried out, and the preliminary detection result is obtained, that is, the point track of the potential target, and the distance unit is R bin ; Step 2: Use cepstrum analysis to screen the preliminary detection results, identify whether it is clutter or target, and then eliminate clutter. Distinguishing clutter and targets in the detection stage can effectively detect hovering UAVs in a clutter environment with high accuracy.

Description

technical field [0001] The invention relates to the technical field of radar target detection, in particular to a cepstrum analysis-based method for detecting an unmanned aerial vehicle in a clutter environment. Background technique [0002] In recent years, with the improvement of the performance of control chips and the maturity of related control algorithms, small multi-rotor drones have become increasingly mature and popular, and they are widely used in various fields of production and life. However, the hidden dangers brought by drones cannot be ignored. The "black flying" drones threaten civil aviation, large gatherings, national security and personal privacy. UAVs are low, small, and slow targets. In cities, there are dense buildings, complex environments, and a lot of clutter and interference, which brings difficulties to detection, especially when UAVs are hovering, it is difficult to distinguish them from fixed clutter. If a large number of false alarms are genera...

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): G01S7/292G01S7/295
CPCG01S7/2927G01S7/295
Inventor 李杨赵琦张宁张庆祥
Owner HARBIN INST OF TECH
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