A method for realizing high-resolution imaging of forward-looking radar

A high-resolution, forward-looking technology, applied in the direction of radio wave reflection/re-radiation, instruments, measuring devices, etc., to achieve high-resolution imaging and suppress noise amplification

Active Publication Date: 2020-09-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] In order to solve the above-mentioned technical problems, the present invention proposes a method for realizing high-resolution imaging of forward-looking radar, through truncated singular decomposition (TSVD, Truncated Singular Value Decomposition) processing of the inverse term in the least-squares term, suppressing the solution method due to Noise amplification phenomenon due to inherent ill-conditioning, while edge information is not lost

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
  • A method for realizing high-resolution imaging of forward-looking radar
  • A method for realizing high-resolution imaging of forward-looking radar
  • A method for realizing high-resolution imaging of forward-looking radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0066] The forward-looking scanning radar imaging motion geometric model adopted in this embodiment is as follows: figure 2 as shown, figure 2 Among them, X represents the X-axis of the three-dimensional rectangular coordinate system, Y represents the Y-axis of the three-dimensional rectangular coordinate system, Z represents the Z-axis of the three-dimensional rectangular coordinate system, H` represents the height of the platform, and V represents the moving speed of the platform; the system parameters of the radar platform As shown in Table 1, the target scene distribution is as follows image 3 As shown, in order to verify the azimuth resolution performance of the method of the present invention, targets are set at different azimuth angles...

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 method for realizing high-resolution imaging of forward-looking radar, which uses least squares to solve the non-square matrix problem of the antenna pattern matrix, and uses the truncated singular value decomposition method to suppress noise amplification, and obtains the target scattering function estimate, so as to realize the forward-looking radar High-resolution imaging in the azimuth direction of the scanning radar; this application considers that the traditional tsvd processing is based on the singular value decomposition of the square matrix and then inverts, but when there are targets on the edge, there may be a problem of missing information, and the least squares method is used. The original matrix is ​​processed, and the error minimum solution is obtained through the minimum of the two norms, and the inverse item is a square matrix, which can be denoised and inversed by singular value decomposition. The method of this application solves the problem that the antenna pattern matrix is ​​not a square matrix, and Preserve the edge information to obtain the estimator of the target scattering function; and analyze the noise amplification problem in the process of solving the estimator, and use the truncated singular value decomposition method to suppress the noise amplification, so as to achieve high-resolution imaging of the forward-looking scanning radar in azimuth.

Description

technical field [0001] The invention belongs to the technical field of radar imaging, in particular to high-resolution imaging of an airborne forward-looking scanning radar. Background technique [0002] Radar forward-looking imaging is widely used in military and civilian fields such as terrain avoidance, precision guidance, autonomous landing, sea detection and imaging, blind flight of aircraft, and terrain following. Traditional imaging methods, such as Doppler beam sharpening technology and synthetic aperture imaging, are limited by the imaging mechanism and cannot achieve azimuth high-resolution imaging in the forward-looking area. The existing forward-looking imaging method mainly uses the convolution characteristic of scanning imaging, and solves the target scattering function matrix through the method of matrix solution to achieve high resolution in azimuth. In the document "M A Richards. Iterative non-coherent angular super-resolution radar [C]. Radar Conference, P...

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 Patents(China)
IPC IPC(8): G01S13/89G01S13/90
CPCG01S13/89G01S13/90G01S13/9043G01S13/9047
Inventor 张寅吴阳毛德庆李昌林徐帆云张永超黄钰林杨建宇
Owner UNIV OF ELECTRONICS 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