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Modulation identification method and system, readable storage medium and equipment

A modulation recognition and modulation method technology, applied in the field of communication, can solve the problem of uneven modulation recognition classification, reduce the overhead of repeated training, optimize the recognition rate, and improve the training efficiency.

Active Publication Date: 2021-10-19
EAST CHINA JIAOTONG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Based on this, the purpose of the present invention is to provide a modulation identification method, system, readable storage medium and equipment to solve the technical problem of the existing modulation identification classification inhomogeneity

Method used

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  • Modulation identification method and system, readable storage medium and equipment
  • Modulation identification method and system, readable storage medium and equipment
  • Modulation identification method and system, readable storage medium and equipment

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Experimental program
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Embodiment 1

[0049] see figure 1 , shows the modulation identification method in the first embodiment of the present invention, the modulation identification method can be implemented by software and / or hardware, and the method includes step S01-step S05.

[0050] Step S01, acquiring a data set of a received signal, where the received signal carries characteristic parameters used to characterize the modulation mode.

[0051] Among them, the received signal data set contains N received signals, and the N received signals contain M kinds of modulation methods, M ≤ N . In addition, the characteristic parameters carried by the received signal may be, but not limited to, electromagnetic characteristics, frequency spectrum characteristics, statistical characteristics and the like.

[0052] Step S02, perform cluster analysis on the received signal data according to the characteristic parameters carried by the received signal, and divide the modulated signals whose discrimination degree is grea...

Embodiment 2

[0064] see figure 2 , shows the modulation identification method in the second embodiment of the present invention, the modulation identification method can be implemented by software and / or hardware, and the method includes step S11-step S17.

[0065] Step S11, acquiring a data set of a received signal, the received signal carrying characteristic parameters used to characterize the modulation mode.

[0066] Step S12, using an unsupervised sparse autoencoder to perform dimensionality reduction processing on the received signal in the received signal data set.

[0067] Among them, the sparse autoencoder is an artificial neural network that obtains deep feature representations of input data through unsupervised learning. The constraint condition of the self-encoder network is that the input is a data sample, and the output is constantly close to the input of the network. According to this principle, the neural network is continuously trained. After the loss function of the net...

Embodiment 3

[0119] Another aspect of the present invention also provides a modulation identification system, please refer to Figure 8 , shows the modulation recognition system in the third embodiment of the present invention, the system includes:

[0120] A data acquisition module 11, configured to acquire a data set of a received signal, the received signal carrying characteristic parameters for characterizing the modulation mode;

[0121] The cluster analysis module 12 is configured to perform cluster analysis on the received signal data according to the characteristic parameters carried by the received signal, and divide the modulated signals with a degree of discrimination greater than a preset value, and divide the modulated signals with a degree of discrimination smaller than the preset value. The modulated signals are aggregated into a cluster;

[0122] The result judging module 13 is used to judge whether two or more modulation signals are included in the obtained cluster;

[0...

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Abstract

The invention provides a modulation identification method and system, a readable storage medium and equipment. The method comprises the following steps: acquiring a received signal data set; performing clustering analysis on received signals according to feature parameters carried by the received signals so as to divide the received signal data set into a plurality of clusters; and when all the received signals in the cluster comprise more than two modulation modes, performing supervised identification on the received signals in the cluster by adopting a supervised learning method based on a convolutional neural network. According to the method, firstly, through clustering analysis of unsupervised learning, one part of the modulation modes with obvious distinguishing features can be directly identified, the other part of the modulation modes which are prone to confusion can be classified into the same cluster due to extremely high similarity; and for the clusters comprising two or more modulation types, supervised identification is carried out by adopting supervised learning based on the convolutional neural network, so that the problem of non-uniformity of classification in an existing modulation identification method can be solved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a modulation identification method, system, readable storage medium and equipment. Background technique [0002] Automatic Modulation Classification (AMC for short) refers to the technology of determining the modulation mode of an unknown signal by analyzing the electromagnetic characteristics, spectrum characteristics, and statistical characteristics of the transmitted signal. In the field of military communications, by identifying the modulation mode of the intercepted signal, estimating the modulation parameters, demodulating the signal, analyzing and processing the information, and applying radio interference or electromagnetic interference to the signal more targetedly, the wireless communication of the other party is affected. hinder or even paralyze. In the field of civil communications, modulation recognition technology provides important prior information...

Claims

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Application Information

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IPC IPC(8): H04L27/00G06N3/08G06N3/04G06K9/62G06K9/00
CPCH04L27/0012G06N3/08G06N3/045G06F2218/12G06F2218/08G06F18/23G06F18/241
Inventor 赵军辉秦子杰马小婷
Owner EAST CHINA JIAOTONG UNIVERSITY