Ultrashort wave specific signal identification method based on convolutional neural network

A convolutional neural network and specific signal technology, applied in the field of radio signal recognition, can solve the problems of not being able to characterize the signal well and the recognition effect is not good, and achieve the effect of improving the signal recognition rate, strong practical application value, and efficient operation.

Active Publication Date: 2019-02-22
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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However, judging from the current research results, the existing methods are not effective in the recognition of low SNR (below 5dB) and strong al

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  • Ultrashort wave specific signal identification method based on convolutional neural network
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  • Ultrashort wave specific signal identification method based on convolutional neural network

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[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings and technical solutions, and the implementation of the present invention will be described in detail through preferred embodiments, but the implementation of the present invention is not limited thereto.

[0039] In recent years, deep learning technology has made breakthroughs in speech, image, natural language and other fields, triggering revolutionary changes in many fields. As one of the branches of deep learning, Convolution Neural Network (CNN) performs well in the field of image recognition and has achieved excellent results in the world's major computer vision challenges. For this reason, embodiment of the present invention, see figure 1 As shown, a method of ultrashort wave specific signal recognition based on convolutional neural network is provided, which includes the following content:

[0040] 101. Perform short-time Fourier transform on a specific ...

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Abstract

The invention belongs to the technical field of radio signal identification, and particularly relates to an ultrashort wave specific signal identification method based on a convolutional neural network. The method comprises the following steps: performing short-time Fourier transform for a specific signal in a sample library, and acquiring a signal time-frequency spectrum, wherein the specific signal is a signal containing a frame synchronization code in a signal transmission data frame structure; training a convolutional neural network model with the time-frequency spectrum; and identifying the specific signal in ultrashort wave communication through the trained convolutional neural network model. In the method provided by the invention, firstly, visual characteristics, presented on the time-frequency spectrum, of the specific signal are analyzed, and training is executed through the convolutional neural network model, thus, identification of the ultrashort wave specific signal is realized, and signal identification rate is improved; and finally, through a simulation experiment, influence of aliasing interference on an ultrashort wave channel is reduced effectively, ultrashort wave specific signal identification under low signal-to-noise rate is realized, moreover, anti-interference performance can be improved through optimizing network structures and increasing the number ofnetwork layers, so the method provided by the invention has relatively strong practical application value.

Description

technical field [0001] The invention belongs to the technical field of radio signal identification, in particular to an ultrashort wave specific signal identification method based on a convolutional neural network. Background technique [0002] Signal recognition technology is widely used in radio reconnaissance, electronic countermeasures and software radio, etc., and ultrashort wave specific signal recognition is also a key part of it, which has become a research hotspot in the field of signal processing. Ultrashort wave communication refers to the communication that uses electromagnetic waves in the 30MHz to 300MHz band to transmit information. However, due to the propagation mode of ultrashort wave communication, the ultrashort wave channel is affected by multipath effect, noise and Doppler effect to a certain extent, which makes the transmitted signal have fading, interference and aliasing, and becomes a relatively complicated channel. . The specific signal refers to ...

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Application Information

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IPC IPC(8): H04L27/00G06N3/08G06N3/04
CPCH04L27/0012G06N3/08G06N3/045
Inventor 杨司韩潘一苇李天昀彭华许漫坤李广
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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