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

New-category radar signal creation method based on reliability test

A radar signal and reliability technology, applied in character and pattern recognition, instruments, calculation models, etc., can solve the problems of reduced accuracy of recognition models and achieve the effect of high-quality data support

Active Publication Date: 2021-09-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the inaccurate labeling of new category samples, the accuracy of the recognition model is reduced after each learning.

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
  • New-category radar signal creation method based on reliability test
  • New-category radar signal creation method based on reliability test
  • New-category radar signal creation method based on reliability test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0048] Such as figure 1Shown, a kind of new class radar signal creation method based on reliability check of the present invention comprises the following steps:

[0049] S1. Distinguish existing samples and new category samples from all radar signal samples to be identified, classify existing samples into corresponding existing categories, and mark new category samples as unidentified; take out unidentified samples, follow the identification As the task progresses, the number of unidentified samples will also increase. Step S2 is executed after the number of unidentified samples has accumulated enough, because clustering in step S2 requires a large number of samples.

[0050] S2. Clustering unidentified samples; for unidentified samples, use the K-means clustering algorithm to divide n objects into k clusters according to the distance betwee...

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 new-category radar signal creation method based on reliability test, and the method comprises the following steps: S1, distinguishing existing samples from new-category samples from all to-be-recognized radar signal samples, and marking the new-category samples as unidentified samples; s2, carrying out clustering on the unidentified samples; s3, designing a reliability test criterion, and screening clustering results; s4, separating out the screened new category of samples, and carrying out secondary screening on the remaining samples; and S5, updating the recognition model by using the new category sample. According to the invention, the unidentified samples can be labeled more accurately, and clutter points are filtered, so that the problem of creating a new category in radar signal recognition is solved, and better data support is provided for an incremental learning link in radar signal recognition.

Description

technical field [0001] The invention belongs to the technical field of radar signal identification, in particular to a method for creating a new type of radar signal based on reliability inspection. Background technique [0002] In modern warfare, radar electronic reconnaissance is an important means of obtaining enemy intelligence. Radar electronic reconnaissance is a type of operation that uses electronic reconnaissance equipment to intercept electromagnetic wave signals sent by enemy radars, and conduct identification, analysis and positioning to provide intelligence support for military operations. Radar signal recognition is a key link in radar electronic reconnaissance. Only by correctly identifying the radiation source that emits radar signals can meaningful strategic intelligence be obtained. [0003] Currently, supervised learning methods are widely used in radar signal recognition. In radar signal recognition based on supervised learning, due to the limited signa...

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): G06K9/62G06N20/00
CPCG06N20/00G06F18/23213G06F18/214
Inventor 霍伟博杨海光王浩源张玉婕杨建宇黄钰林张寅郭德明
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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