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A Feature Extraction Method for Digital Modulation Signal Recognition

A digital modulated signal and feature extraction technology, applied in modulation type identification, digital transmission systems, modulated carrier systems, etc., can solve the problem of incomplete feature extraction methods, and achieve the effect of improving feature extraction efficiency, optimizing algorithms, and simplifying algorithms

Active Publication Date: 2021-03-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to propose a feature extraction method for digital modulation signal recognition in order to solve the incomplete problem of existing feature extraction methods

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  • A Feature Extraction Method for Digital Modulation Signal Recognition
  • A Feature Extraction Method for Digital Modulation Signal Recognition
  • A Feature Extraction Method for Digital Modulation Signal Recognition

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Embodiment Construction

[0090] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0091] Such as figure 1 As shown, the present invention provides a kind of feature extraction method that is used for digital modulation signal recognition, comprises the following steps:

[0092] S1: read in the signal sampling sequence of the signal to be processed;

[0093] S2: Perform Hilbert transform on the signal sampling sequence of the signal to be processed to obtain the final analytical signal sequence S(n);

[0094] S3: Perform statistical feature extraction on the analysis signal sequence S(n) to obtain a feature parameter A;

[0095] S4: Based on the characteristic parameter A, perform instantaneous statistical feature extraction on the analysis signal sequence S(n), and obtain the characteristic parameter B-H;

[0096] S5: Combining the characteristic parameters A-H with superior efficiency to obtain the characteristic vector group, and...

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Abstract

The invention discloses a feature extraction method for digital modulation signal recognition, comprising the following steps: S1: read in the signal sampling sequence of the signal to be processed; S2: perform Hilbert transform to obtain the final analysis signal sequence; S3 : Carry out statistical feature extraction to obtain feature parameter A; S4: Carry out instantaneous statistical feature extraction to obtain feature parameter B-H; S5: Carry out feature efficient combination to feature parameter A-H to obtain feature vector group; S6: Feature The vector group is sent to the multi-classifier to complete the identification of the digital modulation signal. In the present invention, multiple statistical parameters are acquired for the instantaneous information of the signal, the existing parameters are simplified and optimized, and new characteristic parameters are added to form an efficient feature extraction model that can handle different digital signal combinations, and then sent to the multi-classifier , the common identification of various digital signals can be realized.

Description

technical field [0001] The invention belongs to the technical field of signal modulation, and in particular relates to a feature extraction method for digital modulation signal recognition. Background technique [0002] In the field of signal modulation recognition, although scholars at home and abroad have done a lot of related research and exploration, with the continuous development of communication technology and the continuous enrichment of communication styles, the existing recognition methods continue to expose their poor practicability and lack of applicability. and overall functional flaws. In addition to features such as spectral correlation features and wavelet transform features, the most widely used statistical features in commonly used modulation recognition methods are multiple feature parameters extracted from the instantaneous information of the signal. Some of these parameters are still in use today, but their Adaptability is limited. Contents of the inv...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00G06N3/04
CPCH04L27/0012G06N3/045
Inventor 王超宇邵怀宗张伟林静然利强潘晔胡全
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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