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

Signal amplitude sequence based radio frequency fingerprint feature extraction and identification method

A radio frequency fingerprint and feature extraction technology, which is applied in character and pattern recognition, instruments, electrical components, etc., can solve the problems of reducing computational complexity, reduce the probability of errors, achieve simple and efficient implementation methods, and improve the recognition rate.

Active Publication Date: 2017-02-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the deficiencies of the prior art, aim at the extraction and identification of the current radio frequency fingerprint features, provide a radio frequency fingerprint feature extraction and identification method based on signal amplitude sorting, and optimize the existing power-on transient signal sampling method , so that it can take into account the length of the signal along the x-axis, and at the same time, compared with other methods, the computational complexity is significantly reduced, so as to at least improve the correct decision rate, reduce the error probability in the sampling process, and improve the radio frequency fingerprint identification rate the result of

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
  • Signal amplitude sequence based radio frequency fingerprint feature extraction and identification method
  • Signal amplitude sequence based radio frequency fingerprint feature extraction and identification method
  • Signal amplitude sequence based radio frequency fingerprint feature extraction and identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0070] Such as figure 1 As shown, a radio frequency fingerprint feature extraction and identification method based on signal amplitude sorting, it includes the following steps:

[0071] S1: Detect the starting point position and the ending point position of the received power-on transient signal;

[0072] S2: collect the sample points of the transient signal at startup;

[0073] S3: Number the sample points of the start-up transient signal, and define the amplitude function f of the start-up transient signal sample point with the corresponding amplitude of each start-up transient signal sample point:

[0074] f={amp:(1,2,...,M)}

[0075] ={amp 1 ,amp 2 ,...,amp M}

[0076] Define the magnitude function g of the power-on transient sig...

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 signal amplitude sequence based radio frequency fingerprint feature extraction and identification method. The method includes to detect the locations of initial point and ending point of the received boot transient signal, to collect the boot transient signal sample points, to number the boot transient signal sample points and definite the amplitude functions of the boot transient signal sample points according to the corresponding amplitude of each boot transient signal sample points, to measure the size of the boot transient signal sample points and handle accordingly, to build a sample vector function fingerprint database and an unidentified sample vector function database, to build a between-class dispersion matrix and calculate the trace, and to identify whether the two wireless transmitters are same device. The fingerprint acquisition and feature extraction method is simple and efficient and has general applicability. Meanwhile, by applying the method, the identification rate is obviously improved on the basis of controlling the computing complexity.

Description

technical field [0001] The invention relates to the field of physical layer access authentication of wireless equipment, in particular to a radio frequency fingerprint feature extraction and identification method based on signal amplitude sorting. Background technique [0002] Due to its openness and broadcasting characteristics, wireless communication is extremely vulnerable to security threats such as eavesdropping, forgery and interference. Wireless device access to the network is the first step in wireless communication, access security is the key, and wireless device access security is a serious challenge to wireless network security today. As an important non-password authentication technology, radio frequency fingerprint identification technology has a unique application value in physical layer security because it makes full use of the inimitable radio frequency characteristics to achieve authentication. [0003] Radio frequency fingerprinting is a technology that un...

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): G06K9/00H04L29/06
CPCH04L63/0861G06F2218/08G06F2218/12
Inventor 谢非佚文红程伟李雨珊
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