Target classification identification method for Doppler frequency transformation radar

A frequency conversion and target technology, applied in the field of radar target signal classification and identification, can solve the problems of low Doppler detection ability, narrow Doppler frequency range, short staring time, etc., to achieve high promotion and application value, reduce interference impact, Effects with a high probability of detection

Active Publication Date: 2014-11-05
THE 724TH RES INST OF CHINA SHIPBUILDING IND
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The differences between the tracking radar and continuous wave radar of the sea warning radar system are: 1. The radar adopts a coherent pulse system. Compared with frequency radar, the Doppler frequency range that the radar can detect is much narrower, resulting in low Doppler detection capability; 2. The radar uses a 360° omni-directional scanning method to detect targets, and the staring time of a certain target Short (generally around 30ms), the frequency resolution of the radar is poor compared with the staring target of the tracking radar
These characteristics make the generally existing technology for identifying helicopters unsuitable for this warning radar 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
  • Target classification identification method for Doppler frequency transformation radar
  • Target classification identification method for Doppler frequency transformation radar
  • Target classification identification method for Doppler frequency transformation radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The specific implementation steps of helicopter detection technology and implementation method of the present invention refer to the attached figure 1 .

[0026] (1) According to the established target track information, get the target's Azimuth and distance, bearing and distance , intercept the wave gate data Θ of the target area from the echo IQ data of the receiver (two-dimensional array, its size is M × N, wherein M is the number of azimuth pulses taken, N is the number of distance units taken, Generally, M can take 150, and N can take 40), as attached figure 2 shown.

[0027] (2) According to the historical 15 track points of the target track, use the least square method to perform straight line fitting, estimate the target's moving course and speed information, and then obtain the target's radial velocity (the target's moving speed along the radar ray direction) , and estimate the Doppler frequency of the target itself ,in:

[0028] , λ is the rad...

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 relates to a target classification identification method for a Doppler frequency transformation radar. A main procedure of the method is as follows: firstly, through radar echo detection and trace point agglomeration processing, a center point of target echoes is found and a plurality of target data which can be used for meeting a processing condition are extracted; a target radial speed is used to carry out Doppler frequency compensation on target data which meets the processing condition; autocorrelation processing, frequency transformation processing and enhancement processing are carried out through the compensated data and frequency components of the target data are estimated; and at last, threshold segmentation and classification processing are carried out on an enhanced result and whether a target is a helicopter target or a sea-surface target is judged finally. The method has the characteristics of allowing engineering realization, being great in identification effect and being sea-clutter resisting in a specific degree, and a helicopter accuracy reaches more than 85%.

Description

technical field [0001] The invention belongs to radar target signal classification and recognition technology, in particular to a classification and recognition method for extracting helicopter targets from many slow targets in the sea warning radar system of Guantong Station. Background technique [0002] Since the flight speed of the helicopter can range from 0 m / s to tens of m / s, it is difficult to distinguish the helicopter from the surface ship target based on the motion characteristics of the target, especially the helicopter hovering in the air. And if the helicopter can be distinguished from a large number of slow targets, it will be of great significance to the judgment of the troop situation and tactical command. [0003] At present, many detection technologies for researching helicopters use the micro-Doppler characteristics of helicopter blades. For example, in the research report "Micro-Doppler radar signatures for intelligent target recognition" of Defense R&D ...

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): G01S13/88G01S7/41
CPCG01S7/415G01S13/886
Inventor 管志强赵鹏飞左锦波肖龙
Owner THE 724TH RES INST OF CHINA SHIPBUILDING IND
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