Separating and identifying method for multiple human body objects in distance direction of UWB impact biological radar

A human target, bio-radar technology, applied in the direction of reflection/re-radiation of radio waves, use of re-radiation, measurement devices, etc., can solve the problems of background submersion, missed target judgment, and inability to effectively separate two targets

Active Publication Date: 2016-10-12
FOURTH MILITARY MEDICAL UNIVERSITY
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are two main problems in the distance separation identification of single-channel to multiple targets: one is that when the distance between two targets is very close, the near-end target is likely to interfere with the other target due to occlusion and other reasons, resulting in the inability to detect the

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
  • Separating and identifying method for multiple human body objects in distance direction of UWB impact biological radar
  • Separating and identifying method for multiple human body objects in distance direction of UWB impact biological radar
  • Separating and identifying method for multiple human body objects in distance direction of UWB impact biological radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0143] The detection time window is 40ns, that is, the detection distance is 0-6 meters. The detection scene is to penetrate a 30cm thick red brick wall to detect three stationary human targets. The three targets are 3.0 meters, 3.8 meters, and 5.0 meters away from the radar respectively. Figure 7They are the preprocessed signal, the range energy spectrum signal, the correlation coefficient spectrum, and the correlation coefficient spectrum after background removal and expansion processing. In this detection experiment, due to the high energy of the first and second targets at a distance of 3.0 meters and 3.8 meters, the third target could not be identified through the energy spectrum signal, resulting in a missed judgment. Since the correlation coefficient spectrogram is composed of the correlation coefficients of point signals at different distances, and its pixels have normalized characteristics (correlation coefficients are -1 to +1), each target only has a high correlatio...

Embodiment 2

[0145] The detection scene is the same as that in Embodiment 1, and the three targets are 3.0 meters, 3.8 meters, and 5.0 meters away from the radar respectively. Figure 8 They are the preprocessed signal, the range energy spectrum signal, the correlation coefficient spectrum, and the correlation coefficient spectrum after background removal and expansion processing. In this detection experiment, since the first and second targets at a distance of 3.0 meters and 3.8 meters are relatively close, and the energy of the first and third targets is relatively large, the second target cannot be identified through the energy spectrum signal, resulting in a leak. sentenced. However, the correlation coefficient spectrum after background removal and expansion processing can clearly separate and identify three targets. They are respectively located at 3.0 meters, 3.8 meters and 5.0 meters, which are consistent with the actual positions of the targets.

[0146] In addition, we also colle...

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 separating and identifying method for multiple human body objects in the distance direction of a UWB impact biological radar. Correlation coefficients of point signals in different distances in the fast time direction are solved on the basis of the characteristic that correlation of breathing signals of an object itself is high and correlation of breathing signals of different objects is low; and a correlation coefficient spectrum obtained by calculation is combined with certain signal pretreatment to separate and identify the human body objects in the distance direction. The method can improve the separating and identifying performances for multiple objects in the distance direction of the biological radar, judgment leakage is reduced, more accurate one-dimensional distance-direction object position information is provided for detecting and 2D positioning of objects distributed randomly, the detecting and positioning performances of the domestic multi-object biological radar are improved, and the method has great significance in approaching the international advanced rank.

Description

technical field [0001] The invention relates to a UWB impact biological radar multi-human target distance separation identification method. Background technique [0002] Bio-radar is a new type of radar that takes life as the detection target. It uses the electromagnetic wave emitted by the radar as the carrier, and realizes the non-contact, Long-distance detection and identification. Compared with acoustic, optical, infrared and other non-contact life detection technologies, biological radar has the advantages of non-contact, penetrability, and the target does not need to wear any electrodes and sensors. Wall monitoring and battlefield reconnaissance and other fields. [0003] The existing Ultra Wideband (UWB) bio-radar has achieved a few human targets under limited station conditions (for example, the targets are staggered by 1 meter in the radial direction of radar detection, and staggered by 20 degrees in azimuth angle). (less than or equal to 3) through-wall detectio...

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): G01S7/41G01S13/08
CPCG01S7/411G01S7/418G01S13/08
Inventor 张杨王健琪张洋吕昊于霄焦腾李钊梁福来路国华张华薛慧君
Owner FOURTH MILITARY MEDICAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap