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

Space target posture extrapolation method based on three-dimensional reconstruction

A technology of three-dimensional reconstruction and space target, which is applied in the field of data processing to achieve the effect of improving the recognition rate, ensuring the accuracy and improving the recognition rate of radar targets

Active Publication Date: 2019-08-02
XIDIAN UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it is only suitable for flat targets or targets that rotate on the same plane, such as aircraft, etc., and it will no longer be applicable to space targets with three-dimensional rotation

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
  • Space target posture extrapolation method based on three-dimensional reconstruction
  • Space target posture extrapolation method based on three-dimensional reconstruction
  • Space target posture extrapolation method based on three-dimensional reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The implementation force and effect of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0026] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0027] Step 1, evenly divide the data into frames and perform ISAR imaging.

[0028] The complex high-resolution range image HRRP acquired by the radar is uniformly divided into frames, and the continuous complex HRRP samples with a length of α are defined as a frame of data, where, B represents the bandwidth of the radar, L represents the horizontal size of the target, c represents the speed of light, and performs ISAR imaging on each frame to obtain a set of ISAR images.

[0029] Step 2, carry out azimuth calibration for each ISAR image.

[0030] According to the tracking data observed by the radar, the rotation angle β of the radar ray relative to the target is obtained for each frame of data, and the azimuth re...

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 space target posture extrapolation method based on three-dimensional reconstruction and mainly solves the problem that in the prior art, a target identification rate is low when the number of multitask radar samples is relatively low. The method comprises the realization processes of 1), carrying out uniform framing on data and carrying out ISAR imaging; 2), carrying outcross-range scaling on each ISAR image; 3), extracting a scattering center parameter set of each ISAR image; 4), associating scattering centers of an ISAR image set to obtain a track matrix; 5), carrying out singular value decomposition on the track matrix to obtain a projection matrix and a position matrix; 6), carrying out the three-dimensional reconstruction on the projection matrix and the position matrix to obtain a scattering center matrix; and 7), extrapolating data in each frame according to the scattering center matrix, thereby obtaining a time domain real radar range profile sample of each frame after extrapolation, wherein the time domain real radar range profile sample is used for follow-up target identification. According to the method, through adoption of a data extrapolationmethod, the target identification rate can be remarkably improved. The method can be used for identifying radar range profiles.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular to a data extrapolation method for samples in a small angle domain, which can be used for target recognition. Background technique [0002] When the size of the RLOS of the target along the radar line of sight is much larger than the range resolution of the radar, the target cannot be treated as a "point". Since the target occupies multiple range resolution units, the fluctuations and peaks in the corresponding radar echo reflect the distribution of target scattering points along the distance direction. These echoes are called high-resolution range profile HRRP. [0003] In recent years, radar target recognition technology based on HRRP has attracted more and more attention from various countries due to its unique advantages. However, in actual situations, on the one hand, due to the multi-tasking working mode of the radar, the echo of the target is collected discontinuousl...

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): G01S13/90G01S7/41
CPCG01S7/418
Inventor 王家东杜兰杨栋文张晓乐
Owner XIDIAN UNIV
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