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PSK and QAM signal modulation identification method based on EMD

A signal modulation and identification method technology, applied in modulation type identification, modulation carrier system, digital transmission system and other directions, can solve the problems of poor performance, model mismatch, high complexity, less dependence on prior information, and identification accuracy. The effect of high and good application prospects

Active Publication Date: 2020-11-13
JINLING INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing methods can be mainly divided into two categories: likelihood ratio recognition and feature recognition. Likelihood ratio recognition has the best performance but requires prior information of the signal and channel, and is easily affected by model mismatch and has high complexity. , and the feature recognition methods mainly include cyclostationary frequency detection method, fourth-order moment peak feature method, etc. The complexity of these methods is slightly lower, but the performance is poor at low noise ratio

Method used

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  • PSK and QAM signal modulation identification method based on EMD
  • PSK and QAM signal modulation identification method based on EMD
  • PSK and QAM signal modulation identification method based on EMD

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Experimental program
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Embodiment 1

[0040] like figure 2 As shown, in the identification method of Embodiment 1, the empirical mode decomposition of the signal to be identified is firstly performed, and then the first-order eigenmode components obtained by the decomposition are extracted, and the first-order eigenmode components are obtained by Fourier transform. Modulus, the number of the modulus value greater than the semi-maximum modulus value is used as the identification feature quantity, and the corresponding threshold is set according to the identification feature quantity. If the feature quantity is less than this threshold value, it is recognized as an MQAM signal, otherwise, then Recognized as MPSK signal. Simulation results show that MPSK and MQAM modulated signals can be identified without signal prior information. Specifically include the following steps:

[0041] 1. Empirical mode decomposition of the signal to be identified

[0042] Let the original signal be x(t), and perform empirical mode d...

Embodiment 2

[0069] Such as image 3 As shown, in the identification method of Embodiment 2, the empirical mode decomposition of the signal to be identified is firstly performed, and then the first-order eigenmode components obtained by the decomposition are extracted, and the first-order eigenmode components are obtained by Fourier transform. For the maximum modulus, the corresponding threshold is set according to the obtained modulus value as the identification feature value. If the feature value is greater than the threshold value, it will be recognized as an MQAM signal, otherwise, it will be recognized as an MPSK signal. Simulation results show that MPSK and MQAM modulated signals can be identified without signal prior information. Specifically include the following steps:

[0070] 1. Empirical mode decomposition of the signal to be identified

[0071] Let the original signal be x(t), and perform empirical mode decomposition on the signal:

[0072]

[0073] In the formula, c i ...

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Abstract

The invention provides a PSK and QAM signal modulation identification method based on EMD, aiming at the modulation identification problem of MPSK and MQAM signals. Firstly, empirical mode decomposition is carried out on a to-be-identified signal, then a first-order intrinsic mode component obtained through decomposition is extracted, Fourier transform is carried out on the first-order intrinsic mode component, modulo operation is carried out, and an identification characteristic quantity is determined according to the modulo operation. A corresponding threshold is set according to the obtained identification characteristic quantity, the identification characteristic quantity is compared with the threshold, and PSK and QAM signals are identified. A simulation result shows that the MPSK modulation signal and the MQAM modulation signal can be identified under the condition of no signal prior information.

Description

technical field [0001] The invention belongs to the field of signal identification and processing, in particular to a PSK and QAM signal modulation identification method based on EMD decomposition. Background technique [0002] In cognitive radio (CR, Cognitive Radio) and communication reconnaissance, the task of modulation identification is to identify the modulation mode of the observed signal under the condition of noise interference environment and no or lack of prior information, so as to provide a basis for subsequent signal analysis. and information mining and other links to provide information. The existing methods can be mainly divided into two categories: likelihood ratio recognition and feature recognition. Likelihood ratio recognition has the best performance but requires prior information of the signal and channel, and is easily affected by model mismatch and has high complexity. , and feature recognition methods mainly include cyclostationary frequency detecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 胡国兵张清杨莉赵嫔姣姜志鹏
Owner JINLING INST OF TECH