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

Radiation source individual feature extraction method

A technology of feature extraction and radiation source, which is used in the recognition of patterns in instruments and signals, character and pattern recognition, etc., to achieve the effect of improving self-adaptive ability.

Inactive Publication Date: 2015-07-29
SHANGHAI DIANJI UNIV
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, how to effectively extract the characteristics of the signal under the condition of low signal-to-noise ratio and minimize the complexity of the calculation method has not been well solved, and has become the focus of current research.

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
  • Radiation source individual feature extraction method
  • Radiation source individual feature extraction method
  • Radiation source individual feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.

[0029] The cloud model can integrate the fuzziness and randomness of the object to be described to form a qualitative (concept in the domain of discourse) and quantitative (the degree of membership of the attribute value in the domain of discourse) mutual mapping, which is the radiation source individual Signal feature extraction provides a good theoretical basis. Due to the relatively larg...

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 radiation source individual feature extraction method. The method includes the following steps: setting two-dimensional position coordinates corresponding to each cloud droplet as S (i)=(x(i), y(i)), and solving average values of all cloud droplets; solving an entropy value of each cloud droplet according to an entropy value formula; calculating an average entropy value of n corresponding cloud droplets; calculating mean square error of the entropy values, and utilizing the above result to acquire super entropy according to a super entropy calculation formula. On the basis of conventional feature extraction, a cloud cluster model is built for conventional fuzzy features acquired at a low signal-to-noise ratio, and distribution characteristics of a feature cloud cluster are depicted by utilizing basic digital features of a cloud model theory so as to realize finer signal feature extraction.

Description

technical field [0001] The invention relates to a feature extraction method, in particular to a radiation source individual feature extraction method. Background technique [0002] Radiation source individual identification technology is of great significance in the field of signal processing. It needs to identify the individual signal of the radiation source in the complex noise environment, so as to provide the basis for further analysis and processing of the signal. In modern communication systems, the communication environment is complex and changeable. Due to the measurement error of the communication equipment itself and the existence of various interferences in the transmission environment, the characteristic parameters of the received signal have certain randomness and ambiguity compared with the true value. This makes feature extraction, a key link in individual radiation source identification, a difficult problem. Therefore, how to achieve a high recognition rate...

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): G06K9/00
CPCG06F2218/02G06F2218/08
Inventor 李靖超
Owner SHANGHAI DIANJI UNIV
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