Feature extraction method for digital modulation signal identification

A digital modulated signal and feature extraction technology, applied in modulation type identification, digital transmission system, modulated carrier system, etc. Effect

Active Publication Date: 2020-06-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF12 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a feature extraction method for digital modul

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
  • Feature extraction method for digital modulation signal identification
  • Feature extraction method for digital modulation signal identification
  • Feature extraction method for digital modulation signal identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0091] like 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 co...

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 feature extraction method for digital modulation signal identification. The method comprises the following steps: S1, reading a signal sampling sequence of a to-be-processedsignal; S2, performing Hilbert transform to obtain a final analytic signal sequence; S3, performing statistical magnitude feature extraction to obtain a feature parameter A; S4, performing instantaneous statistical feature extraction to obtain a feature parameter B-H; S5, performing feature optimal effect combination on the feature parameters A-H to obtain a feature vector group; S6, the feature vector group is transmitted to multiple classifiers, and recognition of the digital modulation signals is completed. According to the method, multiple statistical parameters are obtained from instantaneous information of signals, existing parameters are simplified and optimized, new characteristic parameters are added, an optimal effect characteristic extraction model capable of processing different digital signal combinations is formed, and then the optimal effect characteristic extraction model is transmitted to multiple classifiers, so that common identification of multiple 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

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
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
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap