Super-resolution imaging method and device based on sparse matrix reconstruction and electronic equipment

A super-resolution imaging and sparse matrix technology, applied in the field of two-dimensional imaging, can solve problems such as difficult to obtain high-resolution imaging, and achieve the effect of reducing imaging time

Inactive Publication Date: 2019-03-08
AIR FORCE UNIV PLA
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a super-resolution imaging method and device based on sparse matrix reconstruction to solve the technical problem in the prior art that it is difficult to obtain high-resolution imaging by using the RD algorithm when the target motion is relatively complex

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  • Super-resolution imaging method and device based on sparse matrix reconstruction and electronic equipment
  • Super-resolution imaging method and device based on sparse matrix reconstruction and electronic equipment
  • Super-resolution imaging method and device based on sparse matrix reconstruction and electronic equipment

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Embodiment 1

[0055] figure 1 It is a flow chart of a super-resolution imaging method based on sparse matrix reconstruction provided by Embodiment 1 of the present invention.

[0056] refer to figure 1 , the method includes the following steps:

[0057] Step S101, acquiring an echo signal of a target object, and obtaining a first expression according to the echo signal.

[0058] Specifically, according to the ISAR imaging theory, under the "stop-and-go" model, the translational component of the target is not beneficial to imaging, assuming that the translational component of the target has been compensated. In this case, during the process of transmitting and receiving a pulse, the target can be approximated as stationary, so the slow time can be regarded as a discrete variable, which is denoted as n here. In this embodiment, the received echo signal can be represented by formula (1)

[0059] the s R (t,nT R )=s R (t,n)=∫ V γ′(z)s T (t-τ(z,n),n)h(n)dz (1)

[0060] Among them, s T...

Embodiment 2

[0154] Figure 7 A super-resolution imaging device based on sparse matrix reconstruction provided by Embodiment 2 of the present invention.

[0155] refer to Figure 7 , the device includes a first acquisition module 10 , a transformation module 20 , a second acquisition module 30 , a transformation module 40 , an optimization module 50 , and a processing module 60 . The first acquisition module 10 is used to acquire the echo signal of the target object, and obtains the first expression according to the echo signal; the transformation module 20 is used to transform the first expression to obtain the two-dimensional sparse matrix of the echo signal; Two acquisition modules 30 are used to obtain the two-dimensional expression of the SOONE function; the conversion module 40 converts the two-dimensional sparse matrix to obtain the minimum norm solution; the optimization module 50 is used to iteratively optimize the minimum norm solution to obtain the SOONE function The minimum v...

Embodiment 3

[0159] An electronic device provided by an embodiment of the present invention, such as Figure 8 As shown, the electronic device 70 includes a memory 71, a processor 72, and a computer program that can run on the processor 72 is stored in the memory 71. When the processor 72 executes the computer program, the steps of the method provided by the first embodiment above are implemented.

[0160] refer to Figure 8 , the electronic device 70 also includes: a bus 73 and a communication interface 74, the processor 72, the communication interface 74 and the memory 71 are connected through the bus 73; the processor 72 is used to execute executable modules stored in the memory 71, such as computer programs.

[0161] Wherein, the memory 71 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at lea...

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Abstract

The invention provides a super-resolution imaging method and device based on sparse matrix reconstruction and electronic equipment. The super-resolution imaging method comprises the steps of obtainingan echo signal of a target object, obtaining a first expression according to the echo signal, transforming the first expression, and obtaining a two-dimensional sparse matrix of the echo signal; by obtaining the two-dimensional sparse matrix of a SOONE function, transforming the two-dimensional sparse matrix, obtaining a minimum norm solution, conducting iterative optimization on the minimum normsolution, and obtaining the minimum value of the two-dimensional expression of the SOONE function on solution space; projecting the minimum value into the solution space, and obtaining a reconstruction signal; processing the reconstruction signal through a compressed sensing short aperture imaging algorithm, and obtaining a target imaging result. By means of the method, the problem is solved thatwhen the target movement is complicated, a high-resolution ISAR image is difficultly obtained by using a RD algorithm.

Description

technical field [0001] The invention relates to the technical field of two-dimensional imaging, in particular to a super-resolution imaging method, device and electronic equipment based on sparse matrix reconstruction. Background technique [0002] For the imaging of maneuvering targets, the scattered points of the target move a lot during the imaging accumulation time, which will generate nonlinear Doppler. The traditional Range Doppler (RD) method usually requires high resolution in azimuth and direction. Longer observation time is used for coherent accumulation processing, and the resolution depends on the rotation angle of the target relative to the radar line of sight during the coherent accumulation time. [0003] When the motion of the target within the coherent integration time can be regarded as an approximately stationary motion, the high-order nonlinear items generated by the target motion can be ignored, and the azimuth echo signal can be approximated by the supe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9064
Inventor 何兴宇童宁宁张永顺郭艺夺
Owner AIR FORCE UNIV PLA
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