Individual Radiation Source Identification Method Based on Main Signal Suppression

An identification method and radiation source technology, which is applied in the field of individual identification of radiation sources, can solve problems such as the influence of individual characteristics, the decline of identification effect, and failure, so as to improve the individual identification rate, improve reliability and robustness, and improve independence and The effect of stability

Active Publication Date: 2020-12-01
HARBIN INST OF TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the change of the main signal waveform of the existing radiation source affects the individual characteristics, so that the identification effect drops sharply or even fails, and proposes a radiation source individual identification method based on main signal suppression

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
  • Individual Radiation Source Identification Method Based on Main Signal Suppression
  • Individual Radiation Source Identification Method Based on Main Signal Suppression
  • Individual Radiation Source Identification Method Based on Main Signal Suppression

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0019] Specific implementation mode one: based on figure 1 To illustrate this embodiment, the specific process of the radiation source individual identification method based on main signal suppression in this embodiment is as follows:

[0020] Step 1, intercepting and preprocessing the radiation source signal to obtain the preprocessed radiation source signal;

[0021] Step 2. Based on the main signal suppression algorithm based on the forward and inverse transformation of time-frequency distribution, the main signal suppression is performed on the radiation source signal preprocessed in step 1, the suppressed signal is obtained, and the signal with a high proportion of individual information is output;

[0022] Step 3, performing individual feature extraction on the signal after the main signal suppression in step 2, and constructing a feature vector;

[0023] Step 4: Input the feature vector constructed in Step 3 into the classifier, and output the classification recognitio...

specific Embodiment approach 2

[0024] Embodiment 2: The difference between this embodiment and Embodiment 1 is that in the first step, the radiation source signal is intercepted and preprocessed to obtain the preprocessed radiation source signal; the specific process is:

[0025] The receiver receives the radiation source signal, sorts and denoises the radiation source signal;

[0026] The radiation source signals were sorted by Pulse Repetition Interval (PRI) transform, and the preprocessed radiation source signals were obtained by static wavelet transform to denoise the sorted radiation source signals.

[0027] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0028] Specific embodiment 3: The difference between this embodiment and specific embodiments 1 or 2 is that in the step 2, the main signal suppression algorithm based on the time-frequency distribution forward and reverse transformation is used to main signal the radiation source signal preprocessed in the step 1. Signal suppression, after obtaining the suppressed signal, output a signal with a high proportion of individual information; the specific process is:

[0029] Under the main framework of the radiation source individual identification based on main signal suppression, aiming at the process of main signal suppression, the present invention designs a main signal suppression algorithm based on forward and inverse transformation of time-frequency distribution, according to signal processing needs, it can be obtained from (a) and (b) two options, the process is as follows figure 2 shown. Since the selected time-frequency distribution transformation is generally a linear...

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 relates to a radiation source individual identification method based on main signal suppression, and the invention relates to a radiation source individual identification method. The purpose of the present invention is to solve the problem that the change of the main signal waveform of the existing radiation source affects the individual characteristics, so that the recognition effect drops sharply or even becomes invalid. The process of the radiation source individual identification method based on main signal suppression is as follows: step 1, intercepting and preprocessing the radiation source signal to obtain the preprocessed radiation source signal; Signal suppression to obtain the suppressed signal; step 3, extract individual features from the signal after the main signal suppression in step 2, and construct a feature vector; step 4, input the feature vector constructed in step 3 into the classifier, and output the classification recognition result. The invention is used in the field of individual identification of radiation sources.

Description

technical field [0001] The invention relates to a radiation source individual identification method. Background technique [0002] Due to the differences in radiation source devices, each radiation source signal contains unique individual information. By measuring the passively received radiation source signal and extracting its individual characteristics, the individual identification of the radiation source can be realized, which is called specific radiation source identification or Individual identification of radiation sources. In terms of military, individual radiation source identification technology is widely used in the individual identification of radio frequency equipment such as radar radiation sources and military communication transmitters, and can obtain the corresponding carrier platform information; while in the civilian direction, it can be used for radio frequency identification, network intrusion detection, Information forensics, radio spectrum management...

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): G06K9/00G06K9/62
CPCG06F2218/06G06F2218/08G06F2218/12G06F18/2411
Inventor 赵雅琴王昭吴龙文任广辉何胜阳
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap