Multi-polarization HRRP scattering center extraction method based on multi-vector ANM

A technology of scattering centers and extraction methods, which is applied in the directions of radio wave reflection/re-radiation, measurement devices, and utilization of re-radiation, can solve the problems of group sparse method mismatch, poor effect, inaccurate position estimation, etc. Better stickiness, avoid base mismatch problem, and improve the effect of estimation accuracy

Inactive Publication Date: 2019-04-05
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, PRONY, MUSIC, OMP methods, etc. The existing multi-polarization high-resolution range image scattering center extraction methods are mainly the expansion of the above methods in the case of multi-polarization, including P-MUSIC, P-ESPIRIT, group sparse methods, etc. The P-MUSIC and P-ESPIRIT methods are sensitive to the signal-to-noise ratio, and the group sparse method has a base mismatch problem, which will lead to inaccurate position estimation
In rece...

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
  • Multi-polarization HRRP scattering center extraction method based on multi-vector ANM
  • Multi-polarization HRRP scattering center extraction method based on multi-vector ANM
  • Multi-polarization HRRP scattering center extraction method based on multi-vector ANM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0031] The invention provides a multi-polarization HRRP scattering center extraction method based on multi-vector ANM. Through the analysis of the data of each channel of multi-polarization HRRP, it is found that the data of each channel of multi-polarization HRRP presents the characteristic of peaks of different sizes appearing at the same position. According to the analysis, this is because the position of the scattering center within the preset radar line of sight is fixed, and since the value of each component of the polarization scattering matrix of the scatterer is different, the difference in the data of each channel of the multi-polarization HRRP is mainly reflected in the maximum different peak values. Therefore, the present invention proposes to use the atomic norm minimization model based on MMV to estimate the scattering center, and make full ...

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 multi-polarization HRRP scattering center extraction method based on multi-vector ANM. By adopting the scheme of the invention, the robust and highly-accurate scattering center extraction can be achieved. The scheme of the invention utilizes the characteristics that the scattering centers of each channel of a multi-polarization high resolution range profile (HRRP) have the same position and different maximum peak values, performs scattering center estimation by using a multi-vector atomic norm minimization model, obtains a polarization scattering matrix of scatteringpoints while accurately obtaining the position information, and provides more comprehensive information for target recognition. The scheme of the invention fully utilizes the common information between the multi-polarization channels, and effectively improves the estimation accuracy; and compared with the traditional P-MUSIC and P-ESPIRIT methods, the scheme of the invention can adapt to the situation of poor signal-to-noise ratios and has better robustness to noise.

Description

technical field [0001] The invention belongs to the technical field of radar target recognition, and relates to a radar multi-polarization high-resolution range profile (HRRP) target recognition method, in particular to a scattering center extraction method based on multi-vector (MMV) atomic norm minimization (ANM). Background technique [0002] Polarization is an important attribute of electromagnetic waves. Multi-polarization radar can provide more information for target recognition. Combining radar polarization information with high-resolution technology has become a promising research field in the field of radar target recognition. [0003] In the optical region, the radar target echo can be regarded as the vector sum of a large number of scattering center echoes with different intensities on the target surface. High-resolution range profile (HRRP) characterizes the distribution of scattering centers along the radar line of sight, reflects the structural characteristics ...

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): G01S13/89G01S7/02
CPCG01S7/02G01S7/021G01S13/89
Inventor 王彦华李阳郗颖王宏宇龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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