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

Recognizing and classifying method for broadband radar interference signals

A technology of jamming signals and broadband radar, applied to radio wave measurement systems, instruments, etc., to achieve the effect of solving the problem of simultaneous multi-jamming identification

Active Publication Date: 2019-03-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the above-mentioned deficiencies in the prior art, the identification and classification method of the bandwidth radar interference signal provided by the present invention solves the problem of lack of effective detection and comprehensive classification research on the bandwidth radar interference signal in the prior art

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
  • Recognizing and classifying method for broadband radar interference signals
  • Recognizing and classifying method for broadband radar interference signals
  • Recognizing and classifying method for broadband radar interference signals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0110] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0111] Such as figure 1 As shown, a method for identifying and classifying broadband radar jamming signals includes the following steps:

[0112] S1. Acquiring radar interference signals and processing them to obtain digital video signals;

[0113] S2, subjecting the digital video signal to a short-time Fourier transform to obtain a time-frequency matrix;

[0114] S3. The time-frequency matrix is ​​processed by sorting an...

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 recognizing and classifying method for broadband radar interference signals. The method comprises the following steps of S1, obtaining radar interference signals, processingthe signals, and obtaining digital video signals; S2, performing short-time Fourier conversion on the digital video signals, and obtaining a time frequency matrix; S3, according to a ranking statistics constant false-alarm method, processing the time frequency matrix, and obtaining a constant false-alarm detection matrix; S4, calculating parameters of interference signals in the constant false-alarm detection matrix, and integrating the parameters of the interference signals into a signal parameter matrix, and obtaining an interference signal detection result; S5, according to the interferencesignal detection result, calculating interference signal characteristics; S6, according to the interference signal characteristics, recognizing and classifying the interference signals. According tothe interference-based time-frequency signal characteristics, nine broadband radar interferences are recognized and classified, and the method has the capability of multi-interference (non-overlappedon frequency) classifying and recognizing.

Description

technical field [0001] The invention belongs to the technical field of broadband radar, and in particular relates to a method for identifying and classifying interference signals of broadband radar. Background technique [0002] The electromagnetic environment of the modern battlefield is becoming more and more complex. With the emergence of digital radio frequency memory (DRFM) technology, new types of deception jamming against linear frequency modulation (LFM) radar signals emerge in an endless stream. What radars face is no longer a single type of electronic interference, but usually different The interference of different modulation types, even composite interference, generated by the interference source, these interferences are distributed in a wide frequency band, the parameters are flexible and changeable, and the interference patterns are diversified, which poses a serious threat to the radar. Although there have been many studies on a single type of interference ide...

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): G01S7/36G01S7/02
CPCG01S7/023G01S7/36
Inventor 张伟刘强王雷雷张顺生曹建蜀
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com