Method for identifying modulation mode of communication signal

A technology of communication signal and modulation mode, applied in modulation carrier system, transmission monitoring, digital transmission system, etc., can solve the problem of low signal-to-noise ratio and low recognition accuracy

Inactive Publication Date: 2010-12-15
THE PLA INFORMATION ENG UNIV
View PDF2 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide an identification method of communication signal modulation mode, which solves the problem of low identification accuracy of traditional identification methods at low signal-to-noise ratios

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
  • Method for identifying modulation mode of communication signal
  • Method for identifying modulation mode of communication signal
  • Method for identifying modulation mode of communication signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0051] The present invention proposes a method based on generalized discriminant analysis (Generalized Discriminant Analysis, GDA) to process signal features, which not only compresses the information dimension, but also enables features to achieve homosexual clustering and heterosexual separation to a certain extent, and better classification performance . The invention utilizes the statistical characteristics of the signal to propose two new features: power spectrum compactness and absolute non-insertion difference phase standard deviation, and redefines the detection method of the single frequency component. These parameters do not depend on prior knowledge, are not sensitive to changes in SNR, have good robustness, are simple in algorithm, and still have good performance at low SNR; in terms of classifier design, this The invention propose...

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 method for identifying a modulation mode of a communication signal. The method comprises the following steps that: a network side receives a communication signal, constructs and stores characteristic parameters of the communication signal according to the characteristics of the received communication signal; the network side processes the constructed characteristics parameters of the communication in a GDA mode, and stores the processed characteristic parameters; and the network side judges the processed characteristic parameters in a mode of a decision tree judgmentclassifier of an AdaBoost, and identifies the modulation mode of the received communication signal. Due to the adoption of the method, the problem that the conventional identification method has low identification accuracy in a low signal-to-noise ratio is solved; and a higher correct identification rate is achieved.

Description

technical field [0001] The invention relates to the field of communication signal processing, in particular to a method for identifying modulation modes of communication signals. Background technique [0002] The automatic identification of signal modulation methods has a very wide application value in military and civilian fields, and plays an important role in signal authentication, interference identification, spectrum management and other fields. It is also one of the key technologies of software radio and cognitive radio. [0003] Signal modulation type identification is divided into two steps: feature extraction and classifier design. Extracting features with good separability and less prior knowledge based on time domain, frequency domain and various transform domains has always been an important research direction in the field of signal recognition. Commonly used feature extraction methods are based on time domain information, frequency domain information, high-ord...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00H04B17/00
Inventor 吴瑛周欣杨宾张莉吴江
Owner THE PLA INFORMATION ENG UNIV
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