Adaptive two-dimensional clustering-based signal pre-sorting method

A pre-sorting and self-adaptive technology, applied in the direction of radio wave measurement systems, instruments, etc., can solve the problems of signal sorting failure, large amount of calculation in sorting processing, missing batches, etc. The effect of missed batches

Active Publication Date: 2018-09-14
GUIZHOU INST OF TECH
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For complex electromagnetic environments, radar emitter signals often overlap in the time domain, space domain, and frequency domain. Traditional radar signal sorting methods have serious "increased batches" and "missed

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
  • Adaptive two-dimensional clustering-based signal pre-sorting method
  • Adaptive two-dimensional clustering-based signal pre-sorting method
  • Adaptive two-dimensional clustering-based signal pre-sorting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Based on the method in the present invention, all other methods obtained by persons of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0032] figure 1 The flow chart of the signal pre-sorting method based on adaptive two-dimensional clustering proposed by the present invention, as shown in the figure, the method includes the following steps:

[0033] Step S1, use the antenna array to two-dimensionally locate the target, and obtain the distance and orientation (R, θ) information sequence;

[0034] The two-dimensional positioning of the target is to use a large-diameter sparse array, when R≤2D 2 When / λ, the target processes the near-field area of ...

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 an adaptive two-dimensional clustering-based signal pre-sorting method. The method can be used for the signal pre-recognition of a new system radar in a complex environment. The method includes the following steps that: an antenna array is adopted to perform two-dimensional positioning on a target, so that distance and azimuth information can be obtained; the initial valuesof the thresholds of the distance and azimuth are set; similarity between the distance dimension and azimuth dimension of the target is calculated; two-dimensional clustering of the distance and azimuth is obtained according to the calculated similarity and thresholds; and the thresholds of the distance and the azimuth are adaptively adjusted, the average value of the similarity between the distance dimension and azimuth dimension after clustering is put into statistics until the average value is smaller than the threshold of the distance or the azimuth, and signal pre-sorting is completed. According to the adaptive two-dimensional clustering-based signal pre-sorting method of the invention, pre-positioning and pre-sorting are sequentially carried out, so that the limitations of traditional radar signal sorting are broken; and the two-dimensional clustering processing of the distance and azimuth is utilized, so that increasingly serious batch increase and batch missing phenomena of signal sorting can be eliminated, and therefore, the effectiveness of radar signal sorting can be improved.

Description

technical field [0001] The invention relates to the technical field of radar signal processing in electronic countermeasures, in particular to a signal pre-sorting method based on adaptive two-dimensional clustering. Background technique [0002] Electronic countermeasures are an important means of attack and defense in modern warfare, and radar signal sorting is the sorting of radar radiation signals with unknown parameters in a complex electromagnetic environment, and is an important part of the electronic countermeasure system. [0003] Modern radars have developed towards multi-functional and multi-purpose new systems and new technologies. A radar may have multiple working states and multiple systems, and various complex waveforms are often designed, which destroys signal sorting and The regularity used in identification poses a great challenge to the radar reconnaissance system, and the increase in the number of various electronic countermeasures equipment makes the rad...

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): G01S7/36
CPCG01S7/36
Inventor 王俐
Owner GUIZHOU INST OF TECH
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