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Ultra-wideband radar human body target attitude visualization enhancement method

An ultra-wideband radar and human target technology, which is applied in the field of ultra-wideband radar human target pose visualization enhancement, can solve the problems of difficulty in accurately estimating human targets, less research on deep neural networks, and low resolution of imaging results, and achieves enhanced visualization performance. Effect

Active Publication Date: 2020-05-29
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, compared with optical images, the imaging results of low-frequency ultra-wideband radar have a lower resolution. It is difficult for traditional methods to accurately estimate the pose of human targets and obtain better visualization results, and there are relatively few studies based on deep neural networks.

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  • Ultra-wideband radar human body target attitude visualization enhancement method
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  • Ultra-wideband radar human body target attitude visualization enhancement method

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Embodiment Construction

[0023] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0024] Reference attached figure 1 , The present invention proposes a method for visualizing and enhancing the posture of an ultra-wideband radar human target, which is specifically implemented through the following steps:

[0025] Step 1. Input the received radar signal and perform 3D BP imaging to obtain 3D imaging results of the detection scene.

[0026] In this embodiment, the radar echo signal is expressed as s mn (t), the k-th frequency point echo is expressed as s mn,k (t)=σexp(-j2πf k τ mn ), where σ is the scattering coefficient of the target, f k Is the frequency corresponding to the kth frequency point, τ mn Is the total delay of the target about the mnth transmit and receive channel; use the back projection (BP) method to image the echo, and the three-dimensional imaging result is Where (x, y, z) is any pixel in the imaging area, MN is the ...

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Abstract

The invention provides an ultra-wideband radar human body target attitude visualization enhancement method and aims to solve problems that a traditional ultra-wideband radar human body imaging resultis relatively abstract, low in resolution and difficult to visually understand. The method comprises steps of firstly, carrying out three-dimensional imaging of a detection scene; detecting the position of a human body target, and obtaining the imaging result of the human body target; performing feature extraction of a radar image corresponding to the human body target by using a resnet network; converting a feature matrix into probability distribution of human skeleton points by using a headnet network; and lastly, extracting position coordinates of the human skeleton points by using a soft-argmax function, and connecting and displaying the coordinate points to obtain a visual three-dimensional attitude graph of the human target. The method is advantaged in that the three-dimensional human body posture is estimated from an abstract three-dimensional radar image by means of a deep neural network tool, visualization performance of ultra-wideband radar human body target detection is enhanced, and a user is assisted in interpreting the posture of the human body target with higher precision.

Description

Technical field [0001] The invention relates to the field of radar signal processing, in particular to an ultra-wideband radar human target posture visualization enhancement method. Background technique [0002] Compared with narrowband radar, UWB radar has the characteristics of broadband and low frequency. It can obtain richer target scattering information. It can penetrate and detect non-transparent media such as walls, baffles, leaves, etc., and is used in target imaging, target recognition, It has great advantages in wall detection and leaf cluster perspective. Among them, the through-wall radar human body detection is an important application of ultra-wideband radar. The through-wall radar can obtain the position and movement information of the human target behind the wall, improve people's perspective perception of the building, and assist decision-makers in the internal situation of the building. Judging, it has played an important role in anti-terrorism and stability ma...

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Application Information

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IPC IPC(8): G01S13/88G01S13/89
CPCG01S13/888G01S13/89
Inventor 金添宋永坤戴永鹏杜浩李浩然何大权伍晨
Owner NAT UNIV OF DEFENSE TECH
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