True and false object state feature extraction method

A technology of state feature and extraction method, applied in the field of space target recognition, can solve the problems of difference in moment of inertia, different precession frequency of true and false targets, etc., to achieve the effect of being conducive to recognition

Inactive Publication Date: 2017-10-10
UNIV OF ELECTRONIC SCI & TECH OF CHINA
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And this mass difference will lead to the difference in the moment of inertia betwe

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
  • True and false object state feature extraction method
  • True and false object state feature extraction method
  • True and false object state feature extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be described below in conjunction with the accompanying drawings.

[0034] by figure 2 The true target shown and image 3 The re-baited target shown is the verification object.

[0035] The geometric structure of the real target is as follows: length 1820mm, bottom diameter 540mm, three grooves with a width of 6mm and a depth of 3mm, a width of 4mm and a depth of 2mm, and a width of 10mm and a depth of 5mm, respectively 220mm, 440mm and 1400mm from the cone top. The geometry of the heavy bait target is: length 640mm, bottom diameter 200mm. The RCS of the real target and heavy decoy target is calculated by FEKO, the frequency is 3GHz. The RCS of the fragments is assumed to be a Gaussian random variable with mean 0 and variance -20dB. The polarization mode is VV polarization. Assuming that the pulse repetition frequency is 20Hz, feature extraction is performed every 5 seconds.

[0036] Step 1. Estimate the embedding dimension using the RC...

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 belongs to the space object identification field category, and especially relates to a novel feature extraction technology applied to space object identification; the method comprises the following steps: using a radar to measure and obtain RCS data; parsing chaotic features of the RCS data, including determining an embedding dimension and time delay; using the estimated embedding dimension and time delay to reconstruct a phase space; calculating association integration and parsing so as to determine the object state stability; counting the RCS data switching frequency if the object state is stable; finally, using the state switching frequency to calculate, thus obtaining features reflecting the ballistic missile object flight state. The method can well reflect the true object, fragment and missile body motion states, thus identifying true objects.

Description

technical field [0001] The invention belongs to the field of space target recognition, and in particular relates to a new feature extraction technology that can be used for space target recognition. Background technique [0002] The identification of true and false targets has always been the key and difficult point of the anti-missile system, which determines the success or failure of the anti-missile system to a certain extent. Radar target recognition technology is one of the core technologies of the anti-missile system. Its task is to identify the real target from the threat cloud composed of a large number of decoys, false targets and projectile fragments, so as to implement effective interception. The identification of true and false targets in the anti-missile system has become the technical bottleneck of the missile defense system, which has attracted great attention from all countries and has become one of the hot spots of research. [0003] For ballistic missile t...

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): G01S7/292G01S7/295G01S7/41G01S13/52
Inventor 张瑛周代英廖阔梁菁
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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