High-resolution imaging method of micro-motion group target based on augmented Laplacian operator
A technology of micro-movement target and imaging method, which is applied in the field of signal processing and can solve the problems that the micro-motion form is not universal and does not consider complex imaging conditions such as lack of echo data.
Active Publication Date: 2018-07-06
XIDIAN UNIV
View PDF5 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, there is still a disadvantage that this group target imaging method is only suitable for uniformly accelerated rigid body group targets, and is not universally applicable to micro-motion forms such as spin, precession, and nutation.
However, there are still deficiencies in that complex imaging conditions such as lack of echo data caused by mutual occlusion between group targets are not considered, making it impossible to achieve high-resolution imaging of micro-moving group targets in complex environments
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0029] The specific embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0030] Reference figure 1 , The implementation steps of the present invention are as follows:
[0031] Step 1. Obtain the initial track matrix D containing missing data, noise, and singular values, and record the position Ω of the missing data in the initial track matrix.
[0032] Step 2: Use the augmented Laplacian method to realize the reconstruction of the initial track matrix:
[0033] (2a) Let the sparse parameter λ=0.7, the step size ρ=1.1, and the precision δ=10 -6 ;
[0034] (2b) Let the number of iterations k = 1, and let the penalty parameter μ of the first iteration 1 =0.1, let the Laplacian multiplication matrix Λ of the first iteration 1 , The singular value matrix E of the first iteration 1 , The filling matrix Z of the first iteration 1 Both are zero matrices with the same number of rows and columns as the initial track matrix...
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
Login to View More Abstract
The invention discloses an inching group object high resolution imaging method based on an augmented Laplace operator, which solves the problem that the current itching group object high resolution imaging method has no universality to the complex inching mode and is not applicable to high resolution imaging under the complex environment. The inching group object high resolution imaging method based on augmented Laplace operator comprises steps of obtaining an initial track matrix , using an augmented Laplace operator method to reconstruct the initial track matrix, performing classification on multiple objects based on the classification matrix, and realizing the inching group object high resolution imaging based on the matrix singular value decomposition. The inching group object high resolution imaging method is high in stability, small in imaging error, and good in universality for self-rotation, processional motion and nutation, and can be used for the group inching object high resolution imaging under the circumstance where the data is lost in the initial track matrix and the noise and the singular value exist.
Description
Technical field [0001] The present invention belongs to the technical field of signal processing, and further relates to a high-resolution imaging method of a micro-motion group target based on an augmented Laplacian in the micro-motion group target imaging. The invention can realize high-resolution imaging of micro-moving targets such as multiple ballistic targets and space debris under mutual shielding, noise interference and other complicated environments. Background technique [0002] When a high-resolution radar is used to image micro-moving targets, multiple micro-moving targets may be contained within the same radar beam width, and multiple targets with similar motion states in the same radar beam are usually defined as group targets. [0003] Xidian University in its patent application "parametric-based imaging method for uniformly accelerating rigid body group targets" (application publication number: CN 102778680 A, application number: 201210198806.7) proposed a parameter...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/89
CPCG01S13/89
Inventor 白雪茹李永国周峰黄萍王虹现
Owner XIDIAN UNIV