Radio signal identification method based on deep learning model and realization system thereof

A radio signal, deep learning technology, applied in signal pattern recognition, character and pattern recognition, biological neural network model and other directions, to achieve the effect of easy promotion and application

Active Publication Date: 2017-09-01
成都蓝色起源科技有限公司
View PDF5 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem that the aforementioned traditional radio signal reconnaissance method is difficult to detect and identify weak signals and short-term burst signals, the present invention provides a radio signal identification method based on a deep learning model and its implementation system

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
  • Radio signal identification method based on deep learning model and realization system thereof
  • Radio signal identification method based on deep learning model and realization system thereof
  • Radio signal identification method based on deep learning model and realization system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0020] figure 1 A schematic flow chart showing a radio signal identification method based on a deep learning model provided by the present invention, figure 2 An example diagram of a two-dimensional time-frequency sample diagram and a target subband time-frequency diagram provided by the present invention is shown. The radio signal recognition method based on a deep learning model provided in this embodiment includes the following steps.

[0021] S101. Convert the time-domain sample data of the target radio signal into time-frequency sample data through STFT transformation, and generate a two-dimensional time-frequency sample graph according to the time-frequency sample data.

[0022] In the step S101, the target radio signal may, but is not limited to, be displayed by the user in a broadband data waterfall diagram (a way of displaying broadband data in a way of abscissa frequency, ordinate time, and signal strength of time-frequency points identified by color shades) The t...

Embodiment 2

[0035] image 3 A schematic diagram of the system structure for realizing the radio signal identification method based on the deep learning model provided by the present invention is shown. This embodiment provides a system for implementing the radio signal identification method described in Embodiment 1, including a sample signal preprocessing module, a sample training module, an air interface signal receiving module, an air interface signal preprocessing module, a classification identification module and a reverse calculation module The sample signal preprocessing module is connected to the sample training module in communication, and is used to convert the time-domain sample data of the target radio signal into time-frequency sample data through STFT transformation, and generate a two-dimensional time-frequency sample graph according to the time-frequency sample data The sample training module is communicatively connected to the classification identification module, which i...

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 the field of radio signal reconnaissance and discloses a radio signal identification method based on a deep learning model and a realization system thereof. The radio signal identification method realizes signal feature extraction and real-time detection through a machine learning mode, that is, training and classification recognition are carried out on a signal time-frequency graph obtained through STFT by utilizing the deep learning model, so that more signal features can be utilized to be greatest degree, and detection of short burst and weak signals is realized; and meanwhile, the signal detection problem is converted into the image classification identification problem, and signal classification detection is realized through a deep learning method, so that special designs for special signals are not needed, and the method has universality, and facilitates actual promotion and application.

Description

technical field [0001] The present invention relates to the field of radio signal reconnaissance, in particular to a radio signal identification method based on a deep learning model and an implementation system thereof. Background technique [0002] In the field of radio signal reconnaissance, it is necessary to detect and identify target radio signals. At present, the traditional radio signal detection and recognition method is mainly divided into two steps: first, the radio signal is detected from the noise by energy detection, matched filtering or other related operations, and then the classification and recognition is carried out through the artificially set target signal characteristics. This traditional processing method has high requirements on the signal-to-noise ratio of radio signals, and it is difficult to detect weak signals and short-term burst signals, especially for short-burst weak signals, it will be difficult to detect and reliably identify them. It is ev...

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): G06K9/00G06N3/04
CPCG06N3/045G06F2218/02G06F2218/08G06F2218/12
Inventor 焦亮坤
Owner 成都蓝色起源科技有限公司
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