Radar radiation source recognizing method based on VAE-ResNet network

An identification method and technology of radiation sources, applied in radio wave measurement systems, instruments, etc., can solve problems such as insufficient feature extraction, single network structure, and shallow network layers, and achieve performance degradation, deep layers, and sufficient features. Effect

Inactive Publication Date: 2019-03-22
XIDIAN UNIV
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still deficiencies in the problems of single network structure, shallow network layers, insufficient feature extraction, and low recognition rate.

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
  • Radar radiation source recognizing method based on VAE-ResNet network
  • Radar radiation source recognizing method based on VAE-ResNet network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] refer to figure 1 , the radar radiation source identification method of the present invention, its realization steps are as follows:

[0026] Step 1: Generate radar emitter signal.

[0027] Separate the aliased signal received from the receiver to obtain the radar emitter signal;

[0028] The radar emitter signal is generated from -10dB to 6dB at every 2dB signal-to-noise ratio to generate radar emitter signal data sets with equal numbers, including 7 different radar emitter signals, which are conventional pulse signal, chirp signal, Nonlinear volume FM signal, two-phase coded signal, four-phase coded signal, two-frequency coded signal and four-frequency coded signal;

[0029] Assume that the carrier frequencies of the five types of conventional pulse signal, linear frequency modulation signal, nonlinear volume frequency modulation signal, two-phase coded signal and four-phase coded signal are all 200MHz;

[0030] Assume that the two carrier frequencies of the two-fr...

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 radar radiation source recognizing method based on a VAE-ResNet network. The problems that network training cannot be completed under few signals, the radar radiation sourcefeature extraction is not sufficient and the recognition accuracy is low in the prior art are mainly solved. By means of the scheme, seven different types of radar radiation source signals are generated; the radar signals are output in the form of a sequence, then time-frequency converting is conducted on the signals, and the signals are output in the form of a time-frequency graph; the data output in the two forms is concentratedly marked with the signal types, and a training set and a testing set are prepared; the VAE-ResNet network is established; the VAE-ResNet network is trained through the training set; the testing set is sent into the trained network, and the network output is of a radar radiation source type. The radar radiation source recognition feature extracting completeness degree and recognition precision are improved, and the method can be used for radar signal recognition under a complicated electromagnetic environment.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a method for identifying radar radiation source signals, which can be used in electronic reconnaissance, electronic support and threat warning systems. Background technique [0002] Radar emitter signal identification is an important link in electronic countermeasures, and it plays a key role in electronic reconnaissance, electronic support and threat warning systems. [0003] With the development of informatization, the electromagnetic environment in electronic countermeasures is becoming increasingly complex. In the complex electronic countermeasure environment, the parameters of radar signals are flexible and changeable, and the signals overlap each other. Only timely and accurate identification of radar radiation source signals can solve the severe situation faced in the real environment. The traditional identification technology based on pulse descriptors (carrier frequency,...

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): G01S7/36G01S7/02
CPCG01S7/021G01S7/36
Inventor 武斌于濛李鹏
Owner XIDIAN UNIV
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