Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Human body micro-Doppler component extraction method based on inverse Radon transform

A Doppler component and extraction method technology, which is applied in the field of human body micro-Doppler component extraction based on inverse Radon transform, can solve the problems that micro-motion signals cannot be extracted and separated, and separated signals overlap each other, so as to overcome the inability to fine-tune Chemical separation, simple and effective effect

Pending Publication Date: 2019-08-20
XIDIAN UNIV
View PDF1 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention solves the problem that the improved high-order fuzzy function and the CLEAN algorithm cannot extract and separate micro-motion signals with weaker energy, and the problem that signals separated by the principle component analysis method overlap each other, and realizes accurate estimation of micro-motion signals of different parts of pedestrians Component, refined separation of pedestrian micro-movement signals

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body micro-Doppler component extraction method based on inverse Radon transform
  • Human body micro-Doppler component extraction method based on inverse Radon transform
  • Human body micro-Doppler component extraction method based on inverse Radon transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

[0024] Step 1. Obtain the pedestrian radar echo signal s(t), and set the frequency f range of the sinusoidal frequency modulation signal in the pedestrian radar echo signal as: f min ≤f≤f max ; Remove the translational signal in the pedestrian radar echo signal to obtain the de-translational pedestrian radar echo signal, which is the echo signal to be extracted.

[0025] The number of signals in the pedestrian radar echo signal and the parameters of the sinusoidal FM signal are unknown, so it is assumed that the frequency of the sinusoidal FM signal satisfies f min ≤f≤f max , where f min =-1024Hz is the lower limit of the frequency of the sine FM signal, f max =1024Hz is the frequency upper limit of the sinusoidal FM signal.

[0026] Specifically, the pedestrian radar echo signal is the sum of the echo signals of various mi...

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

No PUM Login to View More

Abstract

The invention discloses a human body micro-Doppler component extraction method based on inverse Radon transform. The method is characterized by carrying out time-frequency transform and the inverse Radon transform on a pedestrian radar echo signal to acquire a point with the highest aggregation degree, wherein the point is a mapping point of a frequency component signal with highest energy in an inverse Radon domain; then, estimating a frequency and an amplitude of a sine frequency modulation signal through the mapping point so as to obtain the sine frequency modulation signal with the highestenergy; separating the signal from the pedestrian radar echo signal so as to complete extraction of the first micro-Doppler component; continuously separating the signal till that signal component energy is less than or equal to a signal separation threshold, then stopping the separation, and extracting the plurality of micro-Doppler components. In the invention, micro-motion signal components ofdifferent parts of pedestrians can be accurately estimated and fine separation of pedestrian micro-motion signals is achieved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and further relates to a human body micro-Doppler component extraction method based on inverse Radon transform in the field of radar signal processing. The invention can be used for estimating the motion parameters of the pedestrian's micro-motion, judging the form of the pedestrian's micro-motion, and realizing fine separation of the micro-motion signal. Background technique [0002] The Doppler effect of radar signals refers to the non-linear modulation of the radar signal phase by the translational movement of the human target in the direction of the radar line of sight when the radar emits electromagnetic wave signals to the human body. Among them, the non-linear modulation of the phase of the radar carrier signal by the micro-movement of human body parts in the radial direction of the radar, such as the vibration of the chest cavity and skin caused by heartbeat and breathing, and t...

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
no application Login to View More
IPC IPC(8): G01S13/58G01S7/41
CPCG01S13/583G01S7/415
Inventor 周峰杨爽石晓然刘磊樊伟伟白雪茹粟华林
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com