High-resolution human body target motion feature detecting method

A technology of human target and motion characteristics, applied in the direction of measuring device, radio wave measurement system, radio wave reflection/reradiation, etc., can solve problems such as insufficient and conditional constraints on traditional radar detection resolution

Inactive Publication Date: 2015-01-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to provide a high-resolution human target motion feature detection method, which solves the conditional const

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  • High-resolution human body target motion feature detecting method
  • High-resolution human body target motion feature detecting method
  • High-resolution human body target motion feature detecting method

Examples

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Embodiment 1

[0049] Example 1: Suppose someone is at a distance R from the radar 0 = 30m moves at the relative radar radial velocity v=0.09m / s, and its four joints A, B, C, D all move at f p The frequency of =1Hz swings sinusoidally, and the swing amplitude of joints A and B is r 1 = r 2 =0.6m, the phase difference is π, and the swing amplitude of joints C and D is r 3 = r 4 =0.36m, the phases are also different by π, the phases of joints A, C and B, D are the same, that is, the initial phases of A, B, C, and D are respectively Radar carrier frequency α=340GHz, wavelength The sampling frequency is 4096Hz. Then the target echo is:

[0050] S ( t ) = Σ i = 0 4 e - 2 πj ( 2 ...

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Abstract

The invention discloses a high-resolution human body target motion feature detecting method. The method comprises the steps that firstly, a radar demodulation target echo signal model with micro-Doppler features is built, then signals are over-sampled, the time frequency distribution of the signals is calculated through time frequency analysis, binaryzation and other optimizing processing are carried out on the time frequency distribution of the signals, and a time frequency curve matrix is obtained; then, straight line detection is carried out on the matrix, human body main trunk motion parameters are obtained, a parameter space is set, the motion parameters of all the joints are detected, and the human body motion parameters are obtained. Compared with a traditional detecting method, the terahertz frequency band feature is fully utilized, the defect that the binding force of an existing human body target motion feature visual image sequential detection method on detecting conditions and the resolution ratio of a traditional radar detecting technology are low is overcome, and the human body target motion parameters can be detected faster and more accurately within a certain distance through the method.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to a high-resolution human target motion feature detection method. Background technique [0002] Human motion characteristics are studied in biomedical engineering, physical therapy, medical diagnostics, and rehabilitation. The detection of human motion characteristics is not only widely required in nursing homes, hospitals and other places, but also has many applications in security protection, battlefield reconnaissance and other fields. Driven by the development of motion performance analysis, visual surveillance, and biometrics, methods to extract and analyze different human motions have received extensive attention. [0003] Currently, the most general method for detecting human motion features is by using visual image sequences. However, the visual perception of human motion will be affected by distance, light changes, clothing changes, and the appearance of va...

Claims

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Application Information

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IPC IPC(8): G01S13/58
CPCG01S13/50G01S7/415G01S13/58
Inventor 田坤皮亦鸣白启帆范腾李晋杨晓波徐政五范录宏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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