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Ultra-wideband through-wall radar learning imaging method, device and system and readable storage medium

A through-wall radar and ultra-broadband technology, applied in the field of sparse imaging of hidden targets of through-wall radar, can solve the problems of slow imaging speed, difficult selection of hyperparameters, excessive memory of dictionary matrix, etc.

Active Publication Date: 2021-01-08
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For 3D through-wall sparse imaging, the memory required by the dictionary matrix is ​​too large, and the imaging speed is slow
In addition, the sparse optimization algorithm also has problems such as high computational complexity and difficulty in selecting hyperparameters.

Method used

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  • Ultra-wideband through-wall radar learning imaging method, device and system and readable storage medium
  • Ultra-wideband through-wall radar learning imaging method, device and system and readable storage medium
  • Ultra-wideband through-wall radar learning imaging method, device and system and readable storage medium

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Embodiment 1

[0036] refer to figure 1 , figure 1 It is a schematic flowchart of a method for learning imaging of an ultra-wideband through-wall radar provided by an embodiment of the present invention. like figure 1 As shown, the method includes:

[0037] Step 101, constructing a training data set by randomly sampling the echo data of the target position and quantity in the imaging area;

[0038] Optionally, the acquisition of training data: the training data set is formed by randomly sampling the echo data of the target position and quantity in the imaging area, including:

[0039] A 2-dimensional co-located antenna array with M rows and N columns is used, and M′R ',y R '), x R '=[x 1 ,x 2 ,...,x m ,...,x M′ ],y R '=[y 1 ,y 2 ,...,y n ,...,y N′ ], each antenna randomly records the echo scattering data of K′ frequency points, and obtains the M′×N′×K′-dimensional original echo data Indicates the echo scattering data of the k'th frequency point obtained by the antenna in th...

Embodiment 2

[0084] refer to Figure 8 , Figure 8 It is a schematic structural diagram of an ultra-wideband through-wall radar learning imaging device provided by an embodiment of the present invention. like Figure 8 As shown, the device includes:

[0085] The first acquisition module 801 is used to randomly sample and acquire the echo scattering data of the concealed target, and form a training data set by randomly sampling the echo data of the position and quantity of the target in the imaging area;

[0086] The second acquisition module 802 is configured to remove the wall echo and noise of the echo scattering data by background subtraction and linear trend suppression;

[0087] The first construction module 803 is configured to construct a fast Fourier transform operator according to the diffraction tomography algorithm;

[0088] The second construction module 804 is configured to construct a compressed sensing sparse reconstruction model based on the echo scattering data and the...

Embodiment 3

[0093] like Figure 9 As shown, the embodiment of the present invention also provides a schematic diagram of a hardware structure of a system for learning and imaging through-wall radar. like Figure 9 As shown, the system 13 for through-wall radar imaging includes one or more processors 131 and memory 132, Figure 9 A processor 131 is taken as an example.

[0094] The processor 131 and the memory 132 may be connected via a bus or other means, Figure 9 Take connection via bus as an example.

[0095] The memory 132, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as the head-mounted device positioning method in the embodiment of the present application. program instructions / modules. The processor 131 executes various functional applications and data processing of the controller by running non-volatile software programs, instructions and modules stored in th...

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Abstract

The embodiment of the invention relates to an ultra-wideband through-wall radar learning imaging method, device and system and a readable storage medium. The method comprises the following steps: acquiring echo scattering data of a hidden target; removing wall echo and noise of the echo scattering data; constructing a Fourier transform fast operator according to a diffraction tomography algorithm;constructing a compressed sensing sparse reconstruction model based on the echo scattering data and the Fourier transform fast operator; and expanding a sparse reconstruction iterative algorithm intoa multi-layer neural network structure, and training hyper-parameters in the network model through a training data set. Through the random downsampling of the echo data, the frequency domain data acquisition amount of the system is greatly reduced, and the data acquisition time of the system is reduced; a Fourier transform fast operator is constructed, so that the memory required by algorithm operation is reduced; through the data-driven intelligent learning of network model hyper-parameters, the calculation complexity is reduced, the limitation of iteration time consumption of a sparse reconstruction method is avoided, and the imaging quality is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of sparse imaging of hidden targets of through-wall radar, and in particular to a method, device, system and readable storage medium for learning imaging of ultra-wideband through-wall radar. Background technique [0002] Through-the-wall radar is a new type of building perspective detection equipment, which plays an extremely important role in anti-terrorism and stability maintenance, disaster rescue, military survey, target rescue and other fields. The 3D imaging of through-wall radar can not only provide target position information in the range and azimuth direction, but also provide more dimensional information such as pitch, which meets the needs of information such as the structural characteristics of the building and the posture and posture of the human target. [0003] At present, the main way to construct the dictionary matrix for sparse imaging of through-wall radar is to calculate the ...

Claims

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Application Information

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IPC IPC(8): G01S13/88G01S13/89G01S7/41
CPCG01S13/888G01S13/89G01S7/415
Inventor 晋良念卞粱谢辉玉刘庆华蒋俊正
Owner GUILIN UNIV OF ELECTRONIC TECH
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