Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A signal modulation type identification method and system

A signal modulation and type identification technology, applied in the field of signal identification, can solve the problems of unstable performance, low recognition rate, poor robustness and so on

Active Publication Date: 2019-02-19
36TH RES INST OF CETC
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a modulation type identification method and system to solve the problems of poor robustness, unstable performance, and low identification rate under low signal-to-noise ratio conditions in the existing signal modulation identification technology in a non-cooperative communication system

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
  • A signal modulation type identification method and system
  • A signal modulation type identification method and system
  • A signal modulation type identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The core idea of ​​the present invention is to propose a signal modulation type identification scheme based on the principle of statistical pattern recognition to solve the problems of poor robustness of signal modulation type identification and low recognition rate under low signal-to-noise ratio in non-cooperative communication systems. The technical solution of the present invention extracts 7 kinds of characteristic parameters to characterize the signal to be recognized by preprocessing the signal to be recognized, and uses a local preservation projection algorithm to process each training signal sample with known signal modulation type to obtain an optimal projection matrix; The optimal projection matrix performs further feature extraction on the preprocessed signal to be identified and the training signal, and projects the signal to be identified and the training signal (both the signal to be identified and the training signal can be regarded as points in a high-dim...

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 signal modulation type identification method and a signal modulation type identification system. The method comprises the following steps: preprocessing a signal to be identified, extracting a predetermined number of feature parameters, and using a feature vector formed by the predetermined number of feature parameters to represent the signal to be identified; using an optimal projection matrix to extract the features of the signal to be identified, and projecting the signal to be identified into a low-dimensional feature subspace, wherein the optimal projection matrix is obtained through a locality preserving projection algorithm; and calculating the Euclidean distance between the signal to be identified in the low-dimensional feature subspace and a training signal of which the signal modulation type is known, and determining the signal modulation type of the signal to be identified based on the nearest neighbor algorithm of Euclidean distance. According to the technical scheme, the signal to be identified is projected into the low-dimensional feature subspace by using the optimal projection matrix, which reduces the amount of calculation; and the optimal projection matrix obtained through the locality preserving projection algorithm reduces the deviation of the signal in the process of projection, and has better robustness and higher identification rate.

Description

technical field [0001] The invention relates to the technical field of signal identification, in particular to a signal modulation type identification method and system. Background technique [0002] The identification of signal modulation type is an intermediate step in signal interception and demodulation. It has important research value in both military and civilian fields, and is widely used in signal confirmation, interference identification, spectrum management, electronic countermeasures and other fields. In a complex electromagnetic environment, it is a very challenging task to realize the detection and reception of signals and form valuable communication intelligence, so as to provide the basis for subsequent identification, interference and other means. If the modulation method of the reconnaissance signal can be identified, less resources and costs can be used to interfere with specific signal parameters, achieving twice the result with half the effort. Tradition...

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 Patents(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 沈伟国王巍许小丰
Owner 36TH RES INST OF CETC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products