Unlock instant, AI-driven research and patent intelligence for your innovation.

Radar signal characteristic extraction method

A feature extraction and radar signal technology, applied in radio wave measurement systems, instruments, etc., can solve the problems of non-linear frequency modulation and other signals unable to perform feature extraction, easily affected by noise, limited application range, etc., to achieve easy implementation and calculation. Small volume, simple and easy-to-understand effect

Inactive Publication Date: 2017-12-15
SHANGHAI DIANJI UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the existing radar signal recognition algorithm based on the time domain cannot perform feature extraction on signals such as nonlinear frequency modulation, is easily affected by noise, and has a limited scope of application

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
  • Radar signal characteristic extraction method
  • Radar signal characteristic extraction method
  • Radar signal characteristic extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0027] The present invention proposes a cloud model secondary feature extraction algorithm based on FRFT. The digital features of the cloud are represented by three numerical values: the mean value Ex, the average entropy value En, and the hyperentropy He. It fully integrates fuzziness and randomness, It constitutes the mapping between qualitative and quantitative. The algorithm is simple to calculate and can improve the tradit...

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 provides a radar signal characteristic extraction method. The method comprises steps of step 1, signal discretization; step 2, primary characteristic extraction; step 3, coordinate conversion; and step 4, secondary characteristic extraction. The method is advantaged in that on the basis of an original characteristic extraction method, cloud model digital characteristics of distribution characteristics are extracted, and secondary characteristic extraction of the characteristics is carried out; the principle is simple and easy to understand, computational complexity is low, the method is easy for realization, and characteristic extraction and identification of signals can be carried out under the low-signal-to-noise-ratio environments.

Description

technical field [0001] The invention relates to a radar signal feature extraction method. Background technique [0002] Radar radiation source identification refers to the process of comparing the measured radiation source signal parameters with the pre-accumulated radiation source parameters to confirm the original properties of the radiation source. It needs to identify the individual signal of the radiation source in the complex noise environment, so as to provide the basis for further analysis and processing of the signal. It is not only the purpose of the signal processing of the reconnaissance system, but also the basis for judging the threat of the enemy's weapons. It has a very important position and role in radar countermeasures. At present, due to the increasingly complex radar signal environment and the rapid improvement of the radar itself, the problem of radiation source identification is also facing serious difficulties and challenges. This makes the key link ...

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): G01S7/292G01S7/35
CPCG01S7/2923G01S7/354
Inventor 李靖超高妍董春蕾陈志敏毕东媛
Owner SHANGHAI DIANJI UNIV